All-cause mortality risk prediction method and system based on myocardial infarction

Abstract

The present invention proposes a method and system for predicting the risk of all-cause mortality based on myocardial infarction. The number of deaths due to myocardial infarction and their physiological data corresponding to the all-cause mortality within a preset time period are retrieved from a database; the number of deaths due to myocardial infarction and their physiological data corresponding to the all-cause mortality within the preset time period are used to set physiological data reference values; the all-cause mortality risk is predicted for each patient with myocardial infarction detection according to the physiological data reference value to obtain the myocardial infarction risk result; the number of deaths due to myocardial infarction and their physiological data corresponding to the all-cause mortality within the update time interval are retrieved from the database according to a preset update time interval, and the physiological data reference value is compensated and updated according to the number of deaths due to myocardial infarction and their physiological data corresponding to the all-cause mortality within the update time interval. The system includes modules corresponding to the steps of the method.

Description

Technical Field

[0001] The present invention proposes a method and system for predicting the risk of all-cause mortality based on myocardial infarction, and belongs to the technical field of risk prediction of myocardial infarction. Background Art

[0002] Myocardial infarction (MI), as a serious type of cardiovascular disease, is one of the main causes of high mortality worldwide. Its pathogenesis involves a sharp decrease or interruption of coronary blood flow, which leads to severe and persistent ischemia and hypoxia of myocardial cells, and eventually causes myocardial necrosis. The clinical manifestations of myocardial infarction are diverse, ranging from mild symptoms to severe heart failure and even sudden death, which makes the prognosis assessment and all-cause mortality risk prediction of patients with myocardial infarction particularly important. Traditional myocardial infarction risk assessment methods mainly rely on clinical indicators, such as electrocardiogram changes, myocardial enzyme spectrum testing, cardiac ultrasound, etc., but the above methods often focus on diagnosis rather than prediction, and have limitations in individualized all-cause mortality risk assessment. With the development of big data and machine learning technology, the use of patient physiological data in large-scale clinical databases, combined with advanced statistical analysis and prediction models, provides new possibilities for the prediction of all-cause mortality risk in myocardial infarction.

[0003] However, existing technologies face several key problems when predicting the risk of all-cause mortality in myocardial infarction: first, there is a lack of unified standards for the selection and processing of physiological data, resulting in uneven stability and accuracy of the prediction model; second, the setting of physiological data reference values ​​(i.e., benchmark values ​​or normal ranges used for comparison) is often based on limited samples or empirical judgments, which makes it difficult to fully reflect the changes in physiological characteristics of myocardial infarction patients in the real world; third, the prediction model fails to effectively incorporate time factors, that is, it fails to dynamically adjust the physiological data reference values ​​according to the latest clinical data and epidemiological trends, thereby affecting the timeliness and accuracy of the prediction results. Summary of the invention

[0004] The present invention provides a method and system for predicting the risk of all-cause mortality based on myocardial infarction, which is used to solve the technical problems in the above-mentioned prior art. The technical solutions adopted are as follows:

[0005] The all-cause mortality risk prediction method based on myocardial infarction includes:

[0006] The number of deaths due to myocardial infarction and their physiological data corresponding to the all-cause mortality rate within a preset time period are retrieved from the database;

[0007] The physiological data reference value is set by using the number of deaths due to myocardial infarction and the physiological data corresponding to the all-cause mortality rate in the preset time period;

[0008] According to the physiological data reference value, the all-cause mortality risk is predicted for each patient with myocardial infarction to obtain the myocardial infarction risk result;

[0009] According to a preset update time interval, the number of deaths due to myocardial infarction and their physiological data corresponding to the all-cause mortality rate within the update time interval are retrieved from the database, and the physiological data reference value is compensated and updated according to the number of deaths due to myocardial infarction and their physiological data corresponding to the all-cause mortality rate within the update time interval.

[0010] Furthermore, the number of deaths due to myocardial infarction and their physiological data corresponding to the all-cause mortality rate within a preset time period are retrieved from the database, including:

[0011] Retrieve a preset time period, wherein the value of the preset time period is 5 years to 10 years;

[0012] Retrieving the number of deaths due to myocardial infarction corresponding to the all-cause mortality rate within the preset time period;

[0013] comparing the number of deaths due to myocardial infarction with a preset number threshold;

[0014] When the number of deaths due to myocardial infarction does not exceed the preset number threshold, the preset time period is expanded by multiples until the number of deaths due to myocardial infarction exceeds the preset number threshold;

[0015] When the number of deaths due to myocardial infarction exceeds a preset threshold, the physiological data corresponding to each patient who died of myocardial infarction is retrieved; wherein the physiological data includes a troponin value and an electrocardiogram ST segment elevation amplitude value.

[0016] Furthermore, the physiological data reference value is set using the number of deaths due to myocardial infarction and the physiological data corresponding to the all-cause mortality rate in the preset time period, including:

[0017] Retrieve the troponin value corresponding to each patient who died of myocardial infarction;

[0018] Retrieve the age value corresponding to each patient who died of myocardial infarction;

[0019] Obtaining a troponin data reference value according to the troponin value and age value corresponding to each patient who died of myocardial infarction;

[0020] The troponin data reference value is obtained by the following formula:

[0021]

[0022] Among them, J c01represents the reference value of troponin data; n represents the number of patients who died of myocardial infarction; A b A represents the standard deviation of the age value of patients who died of myocardial infarction; max and A min Indicates the maximum and minimum age values ​​of patients who died of myocardial infarction; A z The median age of patients who died of myocardial infarction; C i represents the troponin value corresponding to the patient who died of myocardial infarction corresponding to the i-th patient; C b represents the standard deviation of the troponin values ​​corresponding to n patients who died of myocardial infarction; C max represents the maximum value of troponin corresponding to n patients who died of myocardial infarction; C s Indicates the upper limit of the standard range of troponin values;

[0023] Retrieve the electrocardiogram ST segment elevation amplitude value corresponding to each patient who died of myocardial infarction;

[0024] Obtaining an electrocardiogram ST segment elevation amplitude reference value according to the electrocardiogram ST segment elevation amplitude value and age value corresponding to each patient who died of myocardial infarction;

[0025] The reference value of the electrocardiogram ST segment elevation amplitude is obtained by the following formula:

[0026]

[0027] Among them, J c02 represents the reference value of the ST segment elevation amplitude of the electrocardiogram; n represents the number of patients who died of myocardial infarction; A max and A min Indicates the maximum and minimum age values ​​of patients who died of myocardial infarction; A z The median age of patients who died of myocardial infarction. i S represents the value of the ST segment elevation amplitude of the electrocardiogram corresponding to the patient who died of myocardial infarction; c Indicates the upper limit of the standard range of ST segment elevation on the electrocardiogram; S max and S min Indicates the maximum and minimum values ​​of the electrocardiogram ST segment elevation amplitude corresponding to n patients; A z The median age of patients who died of myocardial infarction. z It represents the average value of the electrocardiogram ST segment elevation amplitude corresponding to the median age value of patients who died of myocardial infarction.

[0028] Furthermore, the all-cause mortality risk is predicted for each patient with myocardial infarction according to the physiological data reference value, and the myocardial infarction risk results are obtained, including:

[0029] Extract the troponin value and electrocardiogram ST segment elevation amplitude value of each patient currently undergoing myocardial infarction testing;

[0030] Compare the troponin value and electrocardiogram ST segment elevation amplitude value of each patient with myocardial infarction currently detected with the troponin data reference value and electrocardiogram ST segment elevation amplitude reference value respectively,

[0031] When at least one of the troponin value and the electrocardiogram ST-segment elevation amplitude value of each patient currently undergoing myocardial infarction detection exceeds the corresponding physical data reference value, an all-cause mortality risk prediction is performed and a myocardial infarction risk result is obtained.

[0032] Furthermore, when at least one of the troponin value and the electrocardiogram ST segment elevation amplitude value of each patient currently detected with myocardial infarction exceeds the corresponding reference value of the physical data, the all-cause mortality risk prediction is performed, and the myocardial infarction risk result is obtained, including:

[0033] When only the troponin value of the patient with myocardial infarction exceeds the troponin data reference value, the corresponding all-cause mortality rate in the preset first time period is retrieved as the all-cause mortality rate benchmark value; wherein the value range of the first time period is 0.6-0.8 times the preset time period;

[0034] Obtaining a first all-cause mortality risk prediction value using the difference between the troponin value of the patient with myocardial infarction and the troponin data reference value and the difference between the electrocardiogram ST segment elevation amplitude value and the electrocardiogram ST segment elevation amplitude reference value;

[0035] Wherein, the first all-cause mortality risk prediction value is obtained by the following formula:

[0036]

[0037] Among them, Y 01 represents the first all-cause mortality risk prediction value; Q0 represents the all-cause mortality benchmark value; C x represents the difference between the troponin value of the patient with myocardial infarction and the troponin data reference value; C s Indicates the upper limit of the standard range of troponin values; S x Indicates the difference between the value of the electrocardiogram ST segment elevation amplitude and the reference value of the electrocardiogram ST segment elevation amplitude; S c Indicates the upper limit of the standard range of electrocardiogram ST segment elevation;

[0038] When the first all-cause mortality risk prediction value exceeds the all-cause mortality baseline value by more than a first amplitude ratio, the patient is determined to be at risk of myocardial infarction and a risk warning is issued; wherein the value range of the first amplitude ratio is 11.3%-17.1%.

[0039] Furthermore, when at least one of the troponin value and the electrocardiogram ST segment elevation amplitude value of each patient currently detected with myocardial infarction exceeds the corresponding reference value of the physical data, all-cause mortality risk prediction is performed and the myocardial infarction risk result is obtained, which also includes:

[0040] When only the electrocardiogram ST segment elevation amplitude value of the patient with myocardial infarction detection exceeds the electrocardiogram ST segment elevation amplitude reference value, the corresponding all-cause mortality rate in the preset second time period is retrieved as the all-cause mortality rate benchmark value; wherein the value range of the second time period is 0.5-0.7 times the preset time period;

[0041] Obtaining a second all-cause mortality risk prediction value using the difference between the troponin value of the patient with myocardial infarction and the troponin data reference value and the difference between the electrocardiogram ST segment elevation amplitude value and the electrocardiogram ST segment elevation amplitude reference value;

[0042] Among them, the second all-cause mortality risk prediction value is obtained by the following formula:

[0043]

[0044] Among them, Y 02 represents the second all-cause mortality risk prediction value; Q0 represents the all-cause mortality benchmark value; C x represents the difference between the troponin value of the patient with myocardial infarction and the troponin data reference value; C s Indicates the upper limit of the standard range of troponin values; S x Indicates the difference between the value of the electrocardiogram ST segment elevation amplitude and the reference value of the electrocardiogram ST segment elevation amplitude; S c Indicates the upper limit of the standard range of electrocardiogram ST segment elevation;

[0045] When the second all-cause mortality risk prediction value exceeds the all-cause mortality baseline value by more than the second amplitude ratio, the patient is judged to be at risk of myocardial infarction and a risk warning is issued; wherein the value range of the second amplitude ratio is 6.8%-13.2%.

[0046] Furthermore, when at least one of the troponin value and the electrocardiogram ST segment elevation amplitude value of each patient currently detected with myocardial infarction exceeds the corresponding reference value of the physical data, all-cause mortality risk prediction is performed and the myocardial infarction risk result is obtained, which also includes:

[0047] When the troponin value and the electrocardiogram ST segment elevation amplitude value of the patient with myocardial infarction detection both exceed their corresponding physical data reference values, the corresponding all-cause mortality rate in the preset third time period is retrieved as the all-cause mortality rate benchmark value; wherein the value range of the third time period is 0.2-0.5 times the preset time period;

[0048] Obtaining a third all-cause mortality risk prediction value using the difference between the troponin value of the patient with myocardial infarction and the troponin data reference value and the difference between the electrocardiogram ST segment elevation amplitude value and the electrocardiogram ST segment elevation amplitude reference value;

[0049] The third all-cause mortality risk prediction value is obtained by the following formula:

[0050]

[0051] Among them, Y 03 represents the third all-cause mortality risk prediction value; Q0 represents the all-cause mortality benchmark value; Q x Indicates the all-cause mortality rate corresponding to the preset time period; C x represents the difference between the troponin value of the patient with myocardial infarction and the troponin data reference value; C s Indicates the upper limit of the standard range of troponin values; S x Indicates the difference between the value of the electrocardiogram ST segment elevation amplitude and the reference value of the electrocardiogram ST segment elevation amplitude; S c Indicates the upper limit of the standard range of electrocardiogram ST segment elevation;

[0052] When the third all-cause mortality risk prediction value exceeds the all-cause mortality baseline value by more than the third amplitude ratio, the patient is determined to be at risk of myocardial infarction and a risk warning is issued; wherein the value range of the third amplitude ratio is 2.8%-7.3%.

[0053] Further, the number of deaths due to myocardial infarction and the physiological data thereof corresponding to the all-cause mortality rate within the update time interval are retrieved from the database according to a preset update time interval, and the physiological data reference value is compensated and updated according to the number of deaths due to myocardial infarction and the physiological data thereof corresponding to the all-cause mortality rate within the update time interval, including:

[0054] Retrieve the preset update time interval;

[0055] According to a preset update time interval, the number of deaths due to myocardial infarction and the physiological data thereof corresponding to the all-cause mortality rate within the update time interval are retrieved from the database; wherein the physiological data include troponin values ​​and electrocardiogram ST segment elevation amplitude values;

[0056] The physiological data reference value is compensated and updated according to the number of deaths due to myocardial infarction and their physiological data corresponding to the all-cause mortality rate within the update time interval and the all-cause mortality risk prediction value corresponding to each patient who died of myocardial infarction within the update time interval.

[0057] Further, the physiological data reference value is compensated and updated according to the number of deaths due to myocardial infarction corresponding to the all-cause mortality rate within the update time interval and its physiological data combined with the all-cause mortality risk prediction value corresponding to each patient who died of myocardial infarction within the update time interval, including:

[0058] Retrieving the predicted risk value of all-cause mortality rate corresponding to each patient who died of myocardial infarction within the update time interval;

[0059] Obtaining a reference value compensation coefficient corresponding to the troponin data reference value by using the difference between the troponin value corresponding to each patient who died of myocardial infarction within the update time interval and the troponin data reference value in combination with the all-cause mortality risk prediction value corresponding to each patient who died of myocardial infarction;

[0060] The reference value compensation coefficient corresponding to the troponin data reference value is obtained by the following formula:

[0061]

[0062] Among them, B c represents the reference value compensation coefficient corresponding to the reference value of troponin data; m represents the number of patients who died of myocardial infarction within the update time interval; C xi represents the difference between the troponin value of the i-th patient who died of myocardial infarction within the update time interval and the troponin data reference value; Q g represents the all-cause mortality rate of myocardial infarction corresponding to the update time interval; C s Indicates the upper limit of the standard range of troponin values; Y i represents the risk prediction value of all-cause mortality of the i-th patient who died of myocardial infarction; P s represents the error rate of all-cause mortality risk prediction within the update time interval; Y b represents the standard deviation of the risk prediction value of all-cause mortality of n patients who died of myocardial infarction; Q x Indicates the all-cause mortality value corresponding to the preset time period;

[0063] Obtaining a reference value compensation coefficient corresponding to the electrocardiogram ST segment elevation amplitude reference value by using the difference between the electrocardiogram ST segment elevation amplitude value corresponding to each patient who died of myocardial infarction within the update time interval and the electrocardiogram ST segment elevation amplitude reference value in combination with the all-cause mortality risk prediction value corresponding to each patient who died of myocardial infarction;

[0064] The reference value compensation coefficient corresponding to the reference value of the electrocardiogram ST segment elevation amplitude is obtained by the following formula:

[0065]

[0066] Among them, B s represents the reference value compensation coefficient corresponding to the reference value of the electrocardiogram ST segment elevation amplitude; m represents the number of patients who died of myocardial infarction within the update time interval; S xi represents the difference between the electrocardiogram ST segment elevation amplitude value corresponding to the i-th patient who died of myocardial infarction within the update time interval and the electrocardiogram ST segment elevation amplitude reference value; Q g represents the all-cause mortality rate of myocardial infarction corresponding to the update time interval; S c Indicates the upper limit of the standard range of ST segment elevation on the electrocardiogram; Y i represents the risk prediction value of all-cause mortality of the i-th patient who died of myocardial infarction; P s represents the error rate of all-cause mortality risk prediction within the update time interval; Y b represents the standard deviation of the risk prediction value of all-cause mortality of n patients who died of myocardial infarction; Q x Indicates the all-cause mortality value corresponding to the preset time period;

[0067] The compensated troponin data reference value is obtained by using the reference value compensation coefficient corresponding to the troponin data reference value; wherein the compensated troponin data reference value is obtained by the following formula:

[0068]

[0069] Among them, J t01 represents the reference value of troponin data after compensation; J c01 Indicates the reference value of troponin data; B c Indicates the reference value compensation coefficient corresponding to the reference value of troponin data;

[0070] The reference value compensation coefficient corresponding to the electrocardiogram ST segment elevation amplitude reference value is used to obtain the compensated electrocardiogram ST segment elevation amplitude reference value, wherein the compensated electrocardiogram ST segment elevation amplitude reference value is obtained by the following formula:

[0071]

[0072] Among them, J t02 Indicates the reference value of the ST segment elevation amplitude of the electrocardiogram after compensation; J c02 Indicates the reference value of the ST segment elevation amplitude of the electrocardiogram; B s Indicates the reference value compensation coefficient corresponding to the reference value of the electrocardiogram ST segment elevation amplitude.

[0073] The all-cause mortality risk prediction system based on myocardial infarction comprises:

[0074] An information retrieval module is used to retrieve from a database the number of deaths due to myocardial infarction and their physiological data corresponding to the all-cause mortality rate within a preset time period;

[0075] A reference value setting module, used for setting a reference value of physiological data by using the number of deaths due to myocardial infarction and the physiological data thereof corresponding to the all-cause mortality rate within the preset time period;

[0076] The risk prediction module is used to predict the risk of all-cause mortality for each patient with myocardial infarction based on the reference value of physiological data and obtain the risk result of myocardial infarction;

[0077] The compensation adjustment module is used to retrieve the number of deaths due to myocardial infarction and their physiological data corresponding to the all-cause mortality rate within the update time interval from the database according to a preset update time interval, and to compensate and update the physiological data reference value according to the number of deaths due to myocardial infarction and their physiological data corresponding to the all-cause mortality rate within the update time interval.

[0078] Beneficial effects of the present invention:

[0079] The method and system for predicting the risk of all-cause mortality based on myocardial infarction provided by the present invention can more accurately predict the risk of all-cause mortality in patients with myocardial infarction by comprehensively considering multiple physiological data indicators and using a large-scale database for training and optimization. The physiological data reference value is dynamically updated so that the prediction model can reflect the latest clinical and epidemiological characteristics, further improving the accuracy of the prediction. The preset update time interval ensures the timely update of the physiological data reference value, so that the prediction model can keep up with the changes in clinical practice and epidemiological trends. The above method can respond to new clinical evidence and research results more quickly and provide timely and accurate information support for clinical decision-making. By providing personalized all-cause mortality risk prediction for each patient, the method helps doctors to formulate more accurate and individualized treatment plans. This can not only improve the treatment effect, but also reduce unnecessary medical costs and improve the utilization efficiency of medical resources. The method can also provide valuable data support for public health departments for formulating prevention and control strategies for myocardial infarction. By analyzing the risk of all-cause mortality of myocardial infarction in different populations and regions, public health departments can more accurately identify high-risk areas and populations and take corresponding intervention measures. BRIEF DESCRIPTION OF THE DRAWINGS

[0080] Figure 1 is a flow chart of the method of the present invention;

[0081] Figure 2 The system block diagram of the system of the present invention. DETAILED DESCRIPTION

[0082] The preferred embodiments of the present invention are described below in conjunction with the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0083] The embodiment of the present invention proposes a method for predicting the risk of all-cause mortality based on myocardial infarction, such as Figure 1 As shown, the method for predicting the risk of all-cause mortality due to myocardial infarction includes:

[0084] S1. Retrieving the number of deaths due to myocardial infarction and their physiological data corresponding to the all-cause mortality rate within a preset time period from a database;

[0085] S2. Setting physiological data reference values ​​using the number of deaths due to myocardial infarction and the physiological data corresponding to the all-cause mortality rate within the preset time period;

[0086] S3. Predict the risk of all-cause mortality for each patient with myocardial infarction based on the reference value of physiological data to obtain the risk result of myocardial infarction;

[0087] S4. According to a preset update time interval, retrieve from the database the number of deaths due to myocardial infarction and their physiological data corresponding to the all-cause mortality rate within the update time interval, and compensate and update the physiological data reference value according to the number of deaths due to myocardial infarction and their physiological data corresponding to the all-cause mortality rate within the update time interval.

[0088] The working principle of the above technical solution is: select all-cause mortality data within a preset time period (such as the past 5 or 10 years) from a large-scale clinical or public health database. Screen out death cases caused by myocardial infarction and collect detailed physiological data of the above cases; process the collected physiological data to determine the reference value range of each physiological indicator. The reference value will be used as a benchmark for subsequent risk assessment to compare and evaluate the physiological data of new cases. For each newly detected myocardial infarction patient, compare its physiological data with the preset physiological data reference value. Then, calculate the patient's all-cause mortality risk. Output the myocardial infarction risk result. According to the preset update time interval (such as every year, every six months, etc.), retrieve the latest number of deaths due to myocardial infarction and its physiological data corresponding to the all-cause mortality rate from the database. Use the above data to compensate and update the physiological data reference value to reflect the latest clinical trends and epidemiological characteristics. The updated reference value will be used for subsequent risk assessment to improve the accuracy and timeliness of the prediction.

[0089] The effect of the above technical solution is: by comprehensively considering multiple physiological data indicators and using a large-scale database for training and optimization, the method can more accurately predict the all-cause mortality risk of patients with myocardial infarction. Dynamically updating the physiological data reference value enables the prediction model to reflect the latest clinical and epidemiological characteristics, further improving the accuracy of the prediction. The preset update time interval ensures the timely update of the physiological data reference value, so that the prediction model can keep up with the changes in clinical practice and epidemiological trends. The above method can respond to new clinical evidence and research results more quickly and provide timely and accurate information support for clinical decision-making. By providing personalized all-cause mortality risk prediction for each patient, the method helps doctors to develop more accurate and individualized treatment plans. This can not only improve the treatment effect, but also reduce unnecessary medical costs and improve the efficiency of medical resource utilization. The method can also provide valuable data support for public health departments to formulate prevention and control strategies for myocardial infarction. By analyzing the all-cause mortality risk of myocardial infarction in different populations and regions, public health departments can more accurately identify high-risk areas and populations and take corresponding intervention measures.

[0090] In summary, the all-cause mortality risk prediction method for myocardial infarction achieves accurate and timely prediction of the all-cause mortality risk of myocardial infarction patients by comprehensively considering multiple physiological data indicators, dynamically updating physiological data reference values, and using large-scale databases for training and optimization. This method not only helps to formulate individualized treatment plans, but also provides strong data support for public health decision-making.

[0091] In one embodiment of the present invention, the number of deaths due to myocardial infarction and physiological data corresponding to the all-cause mortality rate within a preset time period are retrieved from a database, including:

[0092] S101, retrieving a preset time period, wherein the preset time period is 5 years to 10 years;

[0093] S102, retrieving the number of deaths due to myocardial infarction corresponding to the all-cause mortality rate within the preset time period;

[0094] S103, comparing the number of deaths due to myocardial infarction with a preset number threshold;

[0095] S104, when the number of deaths due to myocardial infarction does not exceed the preset number threshold, the preset time period is extended by multiples until the number of deaths due to myocardial infarction exceeds the preset number threshold;

[0096] S105. When the number of deaths due to myocardial infarction exceeds a preset threshold, the physiological data corresponding to each patient who died of myocardial infarction is retrieved; wherein the physiological data includes a troponin value and an electrocardiogram ST segment elevation amplitude value.

[0097] The working principle of the above technical scheme is as follows: The above technical scheme determines the time range of research or analysis, and usually selects 5 to 10 years as a suitable time window to obtain a sufficient number of sample data while ensuring the timeliness and representativeness of the data. Within the preset time period, the number of all deaths caused by myocardial infarction is retrieved from the database. The above data is the basis for subsequent analysis and is used to evaluate the mortality rate and trend of myocardial infarction. In order to ensure the effectiveness and reliability of the analysis, a minimum sample size (i.e., the number of people threshold) is set. The actual number of deaths from myocardial infarction retrieved is compared with this threshold to determine whether the sample size is sufficient. If the actual number of deaths from myocardial infarction does not reach the preset number threshold, it means that the sample size is insufficient, which may affect the accuracy of the analysis results. At this time, the preset time period is expanded by multiples (such as 2 times, 3 times, etc.), and the data is retrieved again until the sample size meets the requirements. When the sample size is sufficient, the detailed physiological data of each patient who died of myocardial infarction is further retrieved from the database, especially the troponin value and the electrocardiogram ST segment elevation amplitude value. The above physiological data are of great significance for evaluating the condition and prognosis of patients with myocardial infarction.

[0098] The effect of the above technical solution is: by setting a threshold for the number of people and expanding the preset time period as needed, the sample size is ensured to be large enough, thereby improving the reliability and accuracy of data analysis. This helps to reduce the bias and error caused by insufficient sample size. Focus on collecting key physiological data (such as troponin values ​​and electrocardiogram ST segment elevation amplitude values), which are essential for assessing the condition and prognosis of patients with myocardial infarction. By optimizing the data collection process, the quality and relevance of the data are ensured. This technical solution provides a reliable data basis for in-depth research on the all-cause mortality risk of patients with myocardial infarction. By further analyzing the above physiological data, the physiological characteristics, disease changes and prognostic factors of patients with myocardial infarction can be revealed, providing a scientific basis for the formulation of clinical treatment and prevention strategies. The research efficiency is improved through automated and standardized data retrieval and processing processes. Researchers can obtain the required data faster and conduct in-depth analysis, thereby accelerating the output and application of research results.

[0099] In summary, the technical solution improves the reliability and accuracy of data analysis by scientifically setting preset time periods, population thresholds, and key physiological data collection requirements, providing strong support for in-depth research on the risk of all-cause mortality in patients with myocardial infarction. At the same time, the technical solution also optimizes data quality, improves research efficiency, and provides a scientific basis for the formulation of clinical treatment and prevention strategies.

[0100] In one embodiment of the present invention, the physiological data reference value is set using the number of deaths due to myocardial infarction corresponding to the all-cause mortality rate within the preset time period and the physiological data thereof, including:

[0101] S201, retrieve the troponin value corresponding to each patient who died of myocardial infarction;

[0102] S202, retrieve the age value corresponding to each patient who died of myocardial infarction;

[0103] S203, obtaining a troponin data reference value according to the troponin value and age value corresponding to each patient who died of myocardial infarction;

[0104] The troponin data reference value is obtained by the following formula:

[0105]

[0106] Among them, J c01 represents the reference value of troponin data; n represents the number of patients who died of myocardial infarction; A b A represents the standard deviation of the age value of patients who died of myocardial infarction; max and A minIndicates the maximum and minimum age values ​​of patients who died of myocardial infarction; A z The median age of patients who died of myocardial infarction; C i represents the troponin value corresponding to the patient who died of myocardial infarction corresponding to the i-th patient; C b represents the standard deviation of the troponin values ​​corresponding to n patients who died of myocardial infarction; C max represents the maximum value of troponin corresponding to n patients who died of myocardial infarction; C s Indicates the upper limit of the standard range of troponin values;

[0107] S204, retrieve the electrocardiogram ST segment elevation amplitude value corresponding to each patient who died of myocardial infarction;

[0108] S205, obtaining an electrocardiogram ST segment elevation amplitude reference value according to the electrocardiogram ST segment elevation amplitude value and age value corresponding to each patient who died of myocardial infarction;

[0109] The reference value of the electrocardiogram ST segment elevation amplitude is obtained by the following formula:

[0110]

[0111] Among them, J c02 represents the reference value of the ST segment elevation amplitude of the electrocardiogram; n represents the number of patients who died of myocardial infarction; A max and A min Indicates the maximum and minimum age values ​​of patients who died of myocardial infarction; A z The median age of patients who died of myocardial infarction. i S represents the value of the ST segment elevation amplitude of the electrocardiogram corresponding to the patient who died of myocardial infarction; c Indicates the upper limit of the standard range of ST segment elevation on the electrocardiogram; S max and S min Indicates the maximum and minimum values ​​of the electrocardiogram ST segment elevation amplitude corresponding to n patients; A z The median age of patients who died of myocardial infarction. z It represents the average value of the electrocardiogram ST segment elevation amplitude corresponding to the median age value of patients who died of myocardial infarction.

[0112] The working principle of the above technical solution is as follows: S201: retrieve the troponin value corresponding to each patient who died of myocardial infarction from the database. Troponin is a protein released when the myocardium is damaged, and its value can reflect the degree of myocardial damage. Retrieve the age value corresponding to each patient who died of myocardial infarction. Age is one of the important factors in cardiovascular disease risk assessment. Retrieve the electrocardiogram ST segment elevation amplitude value corresponding to each patient who died of myocardial infarction. Electrocardiogram ST segment elevation is a typical manifestation of myocardial infarction, and its amplitude can reflect the severity of myocardial infarction. According to the troponin value and age value, a specific formula is used to calculate the troponin data reference value. The formula takes into account the number of patients, the standard deviation of the age value, the maximum and minimum values ​​of the age value, the median value of the age value, the troponin value of each patient, the standard deviation of the troponin value, the maximum value of the troponin value, and the upper limit of the standard range of the troponin value. In the above manner, a reference value that comprehensively considers the patient's age and troponin level can be obtained. According to the ECG ST segment elevation amplitude value and age value, a specific formula is used to calculate the ECG ST segment elevation amplitude reference value. The formula takes into account the number of patients, the maximum and minimum values ​​of the age value, the median value of the age value, the ECG ST segment elevation amplitude value of each patient, the upper limit of the ECG ST segment elevation amplitude standard range, and the maximum and minimum values ​​of the ECG ST segment elevation amplitude value. In the above way, a reference value that comprehensively considers the patient's age and the ECG ST segment elevation amplitude can be obtained.

[0113] The effect of the above technical solution is: by comprehensively considering multiple factors such as age, troponin value and electrocardiogram ST segment elevation, the technical solution can more accurately assess the risk level of patients with myocardial infarction. This helps doctors to formulate more accurate treatment plans and prognosis assessments. By using a specific formula to calculate the reference value of physiological data, the individual differences and age factors between different patients can be fully considered, so that the reference value is more in line with the actual situation. This helps to improve the reliability and accuracy of risk assessment. The technical solution provides doctors with an objective basis based on physiological data, which helps doctors make more informed decisions during diagnosis and treatment. This can not only improve the treatment effect, but also reduce medical costs and improve the quality of life of patients. The technical solution provides a reliable data basis and evaluation method for scientific research, which helps to promote research progress in the field of cardiovascular diseases. By in-depth analysis of the above data, the pathogenesis and influencing factors of myocardial infarction can be revealed, providing a scientific basis for future prevention and treatment strategies.

[0114] By comprehensively considering the troponin values, age values, and electrocardiogram ST segment elevation amplitude values ​​of patients who died of myocardial infarction, this technical solution can provide more personalized physiological data reference values ​​for myocardial infarction patients. At the same time, by introducing statistics such as standard deviation, maximum value, minimum value, and intermediate value, it ensures that the setting of reference values ​​has a certain degree of standardization and objectivity, reducing the influence of subjective judgment. The setting of troponin data reference values ​​and electrocardiogram ST segment elevation amplitude reference values ​​helps doctors to more accurately judge the physiological condition of patients when diagnosing myocardial infarction. The introduction of these two reference values ​​can provide doctors with clearer quantitative indicators when assessing the risk of myocardial infarction in patients, thereby improving the accuracy and reliability of diagnosis. By setting physiological data reference values, doctors can more quickly identify high-risk patients, thereby giving priority to the allocation of medical resources, such as emergency treatment and intensive care. This helps to optimize the allocation of medical resources so that limited medical resources can achieve greater benefits. At the same time, by setting physiological data reference values, doctors can also make a more accurate assessment of the patient's prognosis.

[0115] In one embodiment of the present invention, all-cause mortality risk prediction is performed for each patient with myocardial infarction according to physiological data reference values ​​to obtain a myocardial infarction risk result, including:

[0116] S301, extracting the troponin value and electrocardiogram ST segment elevation amplitude value of each patient currently undergoing myocardial infarction detection;

[0117] S302, comparing the troponin value and electrocardiogram ST segment elevation amplitude value of each patient currently undergoing myocardial infarction detection with the troponin data reference value and electrocardiogram ST segment elevation amplitude reference value, respectively.

[0118] S303. When at least one of the troponin value and the electrocardiogram ST-segment elevation amplitude value of each patient currently undergoing myocardial infarction exceeds the corresponding reference value of the physical data, an all-cause mortality risk prediction is performed and a myocardial infarction risk result is obtained.

[0119] The working principle of the above technical solution is: extract the troponin value and the electrocardiogram ST segment elevation amplitude value from the patients currently tested for myocardial infarction. These two data are important indicators for assessing the risk of myocardial infarction, which can reflect the degree of myocardial damage and abnormal changes in the electrocardiogram. The extracted troponin value and electrocardiogram ST segment elevation amplitude value are compared with the pre-set troponin data reference value and electrocardiogram ST segment elevation amplitude reference value, respectively. The above reference values ​​are obtained by statistically analyzing the physiological data of a large number of myocardial infarction patients and have certain representativeness and accuracy. If at least one of the troponin value or electrocardiogram ST segment elevation amplitude value of the patient currently tested for myocardial infarction exceeds the corresponding reference value, the risk of all-cause mortality is predicted. This means that the patient has a high risk of myocardial infarction and needs closer attention and treatment. Through a specific risk assessment model or algorithm, the patient's myocardial infarction risk result can be calculated to provide a basis for clinical decision-making.

[0120] The effect of the above technical solution is: by comparing the patient's physiological data with the reference value and combining it with the all-cause mortality risk prediction model, the patient's myocardial infarction risk can be more accurately assessed. This helps doctors develop more personalized treatment plans and improve treatment effects. The technical solution provides doctors with objective and accurate risk assessment results, which helps doctors make more informed decisions during diagnosis and treatment. For example, for patients with higher risks, doctors can take more active treatment measures, such as early intervention or enhanced drug treatment. Through risk prediction, patients with different risk levels can be classified and managed. For patients with lower risks, regular follow-up and observation strategies can be adopted; while for patients with higher risks, enhanced monitoring and treatment intervention are required. This helps to improve the efficiency and quality of patient management. The technical solution provides a reliable data basis and evaluation method for scientific research. By deeply analyzing the patient's physiological data and risk prediction results, the pathogenesis and influencing factors of myocardial infarction can be further explored, providing a scientific basis for future prevention and treatment strategies. Through accurate risk prediction and timely treatment intervention, the complication rate and mortality rate of patients with myocardial infarction can be reduced, and medical safety can be improved. This is of great significance for protecting the life safety and physical health of patients.

[0121] In summary, this technical solution provides strong support for the risk prediction of all-cause mortality in patients with myocardial infarction by comprehensively considering the patient's physiological data and risk prediction results. This not only helps to improve prediction accuracy and optimize clinical decision-making, but also helps to improve patient management efficiency and promote the development of scientific research.

[0122] In one embodiment of the present invention, when at least one of the troponin value and the electrocardiogram ST segment elevation amplitude value of each patient currently detected with myocardial infarction exceeds the corresponding reference value of the physical data, all-cause mortality risk prediction is performed and the myocardial infarction risk result is obtained, including:

[0123] S3031a. When only the troponin value of the patient with myocardial infarction exceeds the troponin data reference value, the corresponding all-cause mortality rate in the preset first time period is retrieved as the all-cause mortality rate benchmark value; wherein the value range of the first time period is 0.6-0.8 times the preset time period;

[0124] S3032a, obtaining a first all-cause mortality risk prediction value using the difference between the troponin value of the patient with myocardial infarction and the troponin data reference value and the difference between the electrocardiogram ST segment elevation amplitude value and the electrocardiogram ST segment elevation amplitude reference value;

[0125] Wherein, the first all-cause mortality risk prediction value is obtained by the following formula:

[0126]

[0127] Among them, Y 01 represents the first all-cause mortality risk prediction value; Q0 represents the all-cause mortality benchmark value; C x represents the difference between the troponin value of the patient with myocardial infarction and the troponin data reference value; C s Indicates the upper limit of the standard range of troponin values; S x Indicates the difference between the value of the electrocardiogram ST segment elevation amplitude and the reference value of the electrocardiogram ST segment elevation amplitude; S c Indicates the upper limit of the standard range of electrocardiogram ST segment elevation;

[0128] S3033a. When the first all-cause mortality risk prediction value exceeds the all-cause mortality baseline value by more than a first amplitude ratio, the patient is determined to be at risk of myocardial infarction and a risk warning is issued; wherein the value range of the first amplitude ratio is 11.3%-17.1%.

[0129] The working principle of the above technical solution is: when only the troponin value of the patient detected by myocardial infarction exceeds the reference value of the troponin data, it indicates that the patient's myocardial damage may be high and there is a risk of myocardial infarction. At this time, the system retrieves the corresponding all-cause mortality rate in the preset first time period as the all-cause mortality benchmark value. The value range of the first time period is 0.6-0.8 times the preset time period, which helps to ensure the timeliness and accuracy of the benchmark value. The system calculates the difference between the troponin value of the patient detected by myocardial infarction and the troponin data reference value, as well as the difference between the electrocardiogram ST segment elevation amplitude value and the electrocardiogram ST segment elevation amplitude reference value. These two differences reflect the degree of deviation between the patient's physiological data and the reference value, and are important bases for assessing the risk of myocardial infarction. Using the above differences, the first all-cause mortality risk prediction value is calculated by a specific formula. The formula comprehensively considers the difference between the troponin value and the electrocardiogram ST segment elevation amplitude value, as well as their respective standard range upper limits, to obtain a comprehensive risk prediction value. The first all-cause mortality risk prediction value is compared with the all-cause mortality benchmark value. If the risk prediction value exceeds the baseline value by more than the first amplitude ratio (the range is 11.3%-17.1%), the patient is judged to be at risk of myocardial infarction and a risk warning is issued. This helps doctors take timely intervention measures to reduce the patient's risk of myocardial infarction.

[0130] The effect of the above technical solution is: by comprehensively considering the difference between the troponin value and the electrocardiogram ST segment elevation amplitude value, as well as the upper limit of their respective standard ranges, the technical solution can more accurately assess the risk of myocardial infarction. This helps doctors to develop more personalized treatment plans and improve treatment effects. When the risk prediction value exceeds the benchmark value by more than a certain proportion, the system can automatically issue a risk warning. This helps doctors to promptly discover potential myocardial infarction risks and take corresponding intervention measures to reduce the incidence and mortality of patients' complications. Through the risk prediction and early warning mechanism, patients with different risk levels can be classified and managed. For patients with higher risks, closer attention and treatment intervention measures can be taken; for patients with lower risks, regular follow-up and observation strategies can be adopted. This helps to improve the efficiency and quality of patient management. The technical solution provides a reliable data basis and evaluation method for scientific research. By deeply analyzing the patient's physiological data and risk prediction results, the pathogenesis and influencing factors of myocardial infarction can be further explored, providing a scientific basis for future prevention and treatment strategies.

[0131] At the same time, by comprehensively considering the troponin values ​​and electrocardiogram ST segment elevation amplitude values ​​of patients with myocardial infarction, as well as the difference between them and the corresponding physiological data reference values, the technical solution can more accurately predict the patient's all-cause mortality risk. This comprehensive evaluation method is more comprehensive than a single indicator evaluation, which helps to improve the accuracy and reliability of risk prediction. According to the specific situation of patients with myocardial infarction (such as only troponin values ​​exceeding the standard), the technical solution dynamically retrieves the corresponding all-cause mortality rate within a preset time period as the benchmark value. This dynamic adjustment method can better reflect the patient's current risk status and make the risk prediction closer to reality. When the first all-cause mortality risk prediction value exceeds the all-cause mortality benchmark value by more than the set first amplitude ratio, the technical solution can immediately determine that the patient has a risk of myocardial infarction and issue a risk warning. This timely risk warning helps doctors take timely intervention measures to reduce the risk of myocardial infarction in patients. Through accurate risk prediction and timely risk warning, the technical solution can help doctors allocate medical resources more effectively. For high-risk patients, examinations and treatments can be arranged in priority to ensure that limited medical resources can achieve the greatest benefits. Accurate risk prediction and timely risk warning can help doctors to timely detect the risk of myocardial infarction in patients, so as to take necessary preventive measures and treatment plans. This will help reduce the probability of myocardial infarction in patients and improve their quality of life and safety.

[0132] In summary, this technical solution provides strong support for the risk prediction of all-cause mortality in patients with myocardial infarction by comprehensively considering the patient's physiological data and risk prediction results. This not only helps to improve the accuracy of prediction and optimize the risk warning mechanism, but also helps to improve the efficiency of patient management and promote the development of scientific research. At the same time, the technical effects of the technical solution on performance indicators are mainly reflected in accurate risk prediction, dynamic adjustment of risk benchmarks, timeliness of risk warning, improving the efficiency of medical resource utilization, enhancing patient safety, and promoting the combination of scientific research and clinical practice. These effects have jointly promoted the continuous progress and development of myocardial infarction risk prediction technology.

[0133] In one embodiment of the present invention, when at least one of the troponin value and the electrocardiogram ST segment elevation amplitude value of each patient currently detected with myocardial infarction exceeds the corresponding reference value of the physical data, all-cause mortality risk prediction is performed and the myocardial infarction risk result is obtained, further comprising:

[0134] S3031b. When only the electrocardiogram ST segment elevation amplitude value of the patient with myocardial infarction detected exceeds the electrocardiogram ST segment elevation amplitude reference value, the corresponding all-cause mortality rate in the preset second time period is retrieved as the all-cause mortality rate benchmark value; wherein the value range of the second time period is 0.5-0.7 times the preset time period;

[0135] S3032b, using the difference between the troponin value of the patient with myocardial infarction and the troponin data reference value and the difference between the electrocardiogram ST segment elevation amplitude value and the electrocardiogram ST segment elevation amplitude reference value to obtain a second all-cause mortality risk prediction value;

[0136] Among them, the second all-cause mortality risk prediction value is obtained by the following formula:

[0137]

[0138] Among them, Y 02 represents the second all-cause mortality risk prediction value; Q0 represents the all-cause mortality benchmark value; C x represents the difference between the troponin value of the patient with myocardial infarction and the troponin data reference value; C s Indicates the upper limit of the standard range of troponin values; S x Indicates the difference between the value of the electrocardiogram ST segment elevation amplitude and the reference value of the electrocardiogram ST segment elevation amplitude; S c Indicates the upper limit of the standard range of electrocardiogram ST segment elevation;

[0139] S3033b. When the second all-cause mortality risk prediction value exceeds the all-cause mortality baseline value by more than a second amplitude ratio, the patient is determined to be at risk of myocardial infarction and a risk warning is issued; wherein the second amplitude ratio ranges from 6.8% to 13.2%.

[0140] The working principle of the above technical solution is: when only the value of the ST segment elevation amplitude of the electrocardiogram of the patient with myocardial infarction exceeds the reference value of the ST segment elevation amplitude of the electrocardiogram, it indicates that the patient may have electrophysiological abnormalities of myocardial infarction. At this time, the system will retrieve the corresponding all-cause mortality rate as the benchmark value of all-cause mortality rate according to the preset second time period. The value range of the second time period is 0.5-0.7 times the preset time period. This setting is intended to ensure that the benchmark value can reflect the mortality rate in the near future, while avoiding data fluctuations that may be caused by too short a time period. The system calculates the difference between the troponin value of the patient with myocardial infarction and the reference value of the troponin data, as well as the difference between the value of the ST segment elevation amplitude of the electrocardiogram and the reference value of the ST segment elevation amplitude of the electrocardiogram. These two differences reflect the degree of deviation between the patient's current physiological state and the normal reference value, and are an important basis for assessing the risk of myocardial infarction. Using the above differences, the second all-cause mortality risk prediction value is calculated by a specific formula. The formula takes into account the difference between the troponin value and the electrocardiogram ST-segment elevation amplitude value, as well as the upper limit of their respective standard ranges, to derive a more comprehensive risk prediction value. The second all-cause mortality risk prediction value is compared with the all-cause mortality baseline value. If the risk prediction value exceeds the baseline value by more than the second amplitude ratio (ranging from 6.8% to 13.2%), the patient is judged to be at risk of myocardial infarction and the risk warning mechanism is triggered. This setting is intended to ensure the sensitivity and accuracy of the risk warning so that doctors can take timely intervention measures.

[0141] The effect of the above technical solution is: by comprehensively considering the difference between the troponin value and the electrocardiogram ST segment elevation amplitude value, as well as the upper limit of their respective standard ranges, the technical solution can more accurately assess the risk of myocardial infarction. This helps doctors to develop more personalized treatment plans for patients and improve the treatment effect. When the electrocardiogram ST segment elevation amplitude value is abnormal, the system can quickly retrieve the corresponding all-cause mortality benchmark value and make risk predictions. Such settings ensure the timeliness of risk warnings and help doctors discover potential myocardial infarction risks at the first time. By setting a reasonable second amplitude ratio, the technical solution can ensure the reliability of risk warnings. The warning mechanism will only be triggered when the risk prediction value exceeds the benchmark value by more than a certain proportion. This avoids false alarms caused by data fluctuations or errors. Through the risk prediction and warning mechanism, patients with different risk levels can be classified and managed. For patients with higher risks, closer attention and treatment intervention measures can be taken; for patients with lower risks, regular follow-up and observation strategies can be adopted. This helps to improve the efficiency and quality of patient management.

[0142] At the same time, by considering the troponin value and the electrocardiogram ST segment elevation amplitude value of the myocardial infarction detection patient, the technical solution provides a comprehensive risk assessment. No matter which indicator exceeds its corresponding physiological data reference value, it will trigger the risk prediction of all-cause mortality, thereby ensuring that no potential myocardial infarction risk is missed. According to the different situations of the myocardial infarction detection patients (such as only the electrocardiogram ST segment elevation amplitude value exceeds the standard), the technical solution can flexibly call the all-cause mortality rate in different time periods as the benchmark value. This flexible setting method helps to more accurately reflect the patient's current risk status and improve the accuracy of risk prediction. Using the difference between the troponin value of the myocardial infarction detection patient and the troponin data reference value and the difference between the electrocardiogram ST segment elevation amplitude value and the electrocardiogram ST segment elevation amplitude reference value, the technical solution calculates the second all-cause mortality risk prediction value through a specific formula. This method of comprehensively considering multiple factors helps to improve the accuracy and reliability of risk prediction. When the second all-cause mortality risk prediction value exceeds the all-cause mortality benchmark value by more than the set second amplitude ratio, the technical solution will determine that the patient has a risk of myocardial infarction and issue a risk warning. This reasonable early warning mechanism helps doctors take timely intervention measures to reduce the risk of myocardial infarction in patients. Through accurate risk prediction and a reasonable risk early warning mechanism, this technical solution can help doctors allocate medical resources more effectively. For high-risk patients, further examinations and treatments can be arranged as a priority, thus ensuring that limited medical resources can be used to the greatest extent possible.

[0143] In summary, this technical solution provides strong support for the risk prediction of all-cause mortality in patients with myocardial infarction by comprehensively considering the patient's physiological data and risk prediction results. This not only helps to improve the prediction accuracy and optimize the risk warning mechanism, but also helps to improve the efficiency of patient management and promote the development of scientific research.

[0144] In one embodiment of the present invention, when at least one of the troponin value and the electrocardiogram ST segment elevation amplitude value of each patient currently detected with myocardial infarction exceeds the corresponding reference value of the physical data, all-cause mortality risk prediction is performed and the myocardial infarction risk result is obtained, further comprising:

[0145] S3031c. When the troponin value and the electrocardiogram ST-segment elevation amplitude value of the patient with myocardial infarction detection both exceed their corresponding physical data reference values, the corresponding all-cause mortality rate in the preset third time period is retrieved as the all-cause mortality rate benchmark value; wherein the value range of the third time period is 0.2-0.5 times the preset time period;

[0146] S3032c, using the difference between the troponin value of the patient with myocardial infarction and the troponin data reference value and the difference between the electrocardiogram ST segment elevation amplitude value and the electrocardiogram ST segment elevation amplitude reference value to obtain a third all-cause mortality risk prediction value;

[0147] The third all-cause mortality risk prediction value is obtained by the following formula:

[0148]

[0149] Among them, Y 03 represents the third all-cause mortality risk prediction value; Q0 represents the all-cause mortality benchmark value; Q x Indicates the all-cause mortality rate corresponding to the preset time period; C x represents the difference between the troponin value of the patient with myocardial infarction and the troponin data reference value; C s Indicates the upper limit of the standard range of troponin values; S x Indicates the difference between the value of the electrocardiogram ST segment elevation amplitude and the reference value of the electrocardiogram ST segment elevation amplitude; S c Indicates the upper limit of the standard range of electrocardiogram ST segment elevation;

[0150] S3033c. When the third all-cause mortality risk prediction value exceeds the all-cause mortality baseline value by more than the third amplitude ratio, the patient is determined to be at risk of myocardial infarction and a risk warning is issued; wherein the value range of the third amplitude ratio is 2.8%-7.3%.

[0151] The working principle of the above technical solution is: when the troponin value and the electrocardiogram ST segment elevation amplitude value of the patient detected by myocardial infarction both exceed the corresponding physiological data reference value, this usually means that the patient's myocardial damage is more serious and there are obvious electrophysiological abnormalities. At this time, the system will retrieve the corresponding all-cause mortality rate as the all-cause mortality rate benchmark value according to the preset third time period. The value range of the third time period is 0.2-0.5 times the preset time period. This setting is intended to ensure that the benchmark value can reflect the mortality rate in the near future, but not too near, so as to more accurately assess the patient's current risk status. The system will calculate the difference between the troponin value of the patient detected by myocardial infarction and the troponin data reference value, as well as the difference between the electrocardiogram ST segment elevation amplitude value and the electrocardiogram ST segment elevation amplitude reference value. These two differences reflect the degree of deviation between the patient's current physiological state and the normal reference value, and are an important basis for assessing the risk of myocardial infarction. Using the above differences, combined with the all-cause mortality value corresponding to the preset time period, the third all-cause mortality risk prediction value is calculated by a specific formula. This formula comprehensively considers the difference between the troponin value and the electrocardiogram ST segment elevation amplitude value, as well as the upper limit of their respective standard ranges, and introduces the all-cause mortality value of the preset time period, so as to obtain a more comprehensive and accurate risk prediction value. The third all-cause mortality risk prediction value is compared with the all-cause mortality baseline value. If the risk prediction value exceeds the baseline value by more than the third amplitude ratio (the range is 2.8%-7.3%), the patient is judged to be at risk of myocardial infarction and the risk warning mechanism is triggered. This setting is intended to ensure the sensitivity and accuracy of the risk warning so that doctors can take timely intervention measures to reduce the patient's risk of myocardial infarction.

[0152] The effect of the above technical solution is: by comprehensively considering the troponin value, the electrocardiogram ST segment elevation amplitude value and the difference between them and the reference value, and introducing the all-cause mortality value of the preset time period, the technical solution can more accurately assess the risk of myocardial infarction. This helps doctors to formulate more personalized treatment plans for patients and improve the treatment effect. When the patient has abnormal troponin values ​​and electrocardiogram ST segment elevation amplitude values, the system can quickly retrieve the corresponding all-cause mortality benchmark value and make risk predictions. Such settings ensure the timeliness of risk warnings, help doctors to discover potential myocardial infarction risks at the first time, and take corresponding intervention measures. By setting a reasonable third amplitude ratio, the technical solution can ensure the specificity of risk warnings. The warning mechanism will only be triggered when the risk prediction value exceeds the benchmark value by more than a certain proportion. This avoids false alarms caused by data fluctuations or errors, and improves the accuracy and reliability of warnings. Through risk prediction and warning mechanisms, patients with different risk levels can be classified and managed. For patients with higher risks, closer attention and treatment intervention measures can be taken; for patients with lower risks, regular follow-up and observation strategies can be adopted. This will help improve the efficiency and quality of patient management and reduce waste of medical resources.

[0153] At the same time, when the troponin value and the electrocardiogram ST segment elevation amplitude value of the patient detected by myocardial infarction exceed their corresponding physiological data reference values, the technical solution will call the all-cause mortality rate in a shorter time period (0.2-0.5 times the preset time period) as the baseline value. This setting enables the risk prediction to reflect this change more quickly when the patient shows more obvious symptoms of myocardial infarction, thereby enhancing the sensitivity of risk prediction. By comprehensively considering the difference between the troponin value and the electrocardiogram ST segment elevation amplitude value of the patient detected by myocardial infarction and the corresponding physiological data reference value, the technical solution uses a specific formula to calculate the third all-cause mortality risk prediction value. This comprehensive consideration of multiple factors helps to improve the accuracy of risk prediction and make the prediction results closer to the actual risk status of the patient. The technical solution sets a reasonable risk warning threshold (third amplitude ratio). When the third all-cause mortality risk prediction value exceeds the all-cause mortality baseline value by more than this threshold, the patient will be judged to have a myocardial infarction risk and a warning will be issued. This setting helps to avoid false positives and false negatives and ensure the accuracy and reliability of risk warnings. Through accurate risk prediction and a reasonable risk warning mechanism, this technical solution can help doctors allocate medical resources more effectively. For high-risk patients, further examinations and treatments can be arranged first, thus ensuring that limited medical resources can be used to the greatest extent possible.

[0154] In summary, this technical solution provides strong support for the risk prediction of all-cause mortality in patients with myocardial infarction by comprehensively considering the patient's physiological data and risk prediction results. This not only helps to improve prediction accuracy and optimize the risk warning mechanism, but also helps to improve patient management efficiency and promote the development of scientific research.

[0155] In one embodiment of the present invention, the number of deaths due to myocardial infarction and the physiological data corresponding to the all-cause mortality rate within the update time interval are retrieved from the database according to a preset update time interval, and the physiological data reference value is compensated and updated according to the number of deaths due to myocardial infarction and the physiological data corresponding to the all-cause mortality rate within the update time interval, including:

[0156] S401, retrieving a preset update time interval;

[0157] S402, according to a preset update time interval, retrieve from the database the number of deaths due to myocardial infarction and their physiological data corresponding to the all-cause mortality rate within the update time interval; wherein the physiological data includes a troponin value and an electrocardiogram ST segment elevation amplitude value;

[0158] S403, compensating and updating the physiological data reference value according to the number of deaths due to myocardial infarction and their physiological data corresponding to the all-cause mortality rate within the update time interval and the all-cause mortality risk prediction value corresponding to each patient who died of myocardial infarction within the update time interval.

[0159] The working principle of the above technical solution is as follows: In this technical solution, an update time interval is first preset. This interval is determined based on multiple factors such as the need for data update, data stability, and analysis efficiency. By presetting the update time interval, it can be ensured that the data update will not be too frequent, resulting in a waste of resources, nor too late, resulting in the loss of timeliness of the data. According to the preset update time interval, the number of deaths due to myocardial infarction and their physiological data corresponding to the all-cause mortality rate in the time interval are retrieved from the database. The physiological data here mainly include troponin values ​​and electrocardiogram ST segment elevation amplitude values, which are important indicators for assessing the risk of myocardial infarction. The retrieved data will be used in the subsequent physiological data reference value compensation update process to ensure the accuracy and timeliness of the reference value. Combined with the all-cause mortality risk prediction value corresponding to each patient who died of myocardial infarction within the update time interval, the physiological data reference value is compensated and updated. This process is mainly based on the actual myocardial infarction death case and its physiological data, and the original physiological data reference value is adjusted and optimized. In the above manner, it can be ensured that the physiological data reference value can more accurately reflect the current physiological state and risk level of myocardial infarction patients, providing more reliable support for subsequent risk assessment and early warning.

[0160] The effect of the above technical solution is: by regularly retrieving the latest myocardial infarction death cases and their physiological data from the database, and compensating and updating the physiological data reference values ​​in combination with the risk prediction values, the accuracy and timeliness of the reference values ​​can be ensured. This helps to improve the accuracy of myocardial infarction risk assessment and provide doctors with more reliable treatment suggestions. The update of physiological data reference values ​​will directly affect the accuracy of risk assessment and early warning mechanisms. By continuously updating the reference values, it can be ensured that the risk assessment model can more accurately reflect the risk level of the current myocardial infarction patients, thereby triggering the early warning mechanism in time and reducing the patient's risk of death. Accurate risk assessment and early warning mechanisms help doctors allocate medical resources more reasonably. For high-risk patients, more active treatment measures and monitoring strategies can be adopted; while for low-risk patients, more conservative treatment plans can be adopted to avoid unnecessary waste of medical resources. The application of this technical solution will promote research and technological progress in the field of myocardial infarction risk assessment. By continuously accumulating and analyzing actual case data, the risk assessment model and method can be further improved to improve the accuracy and reliability of prediction. At the same time, this technical solution also provides a useful reference and reference for the risk assessment of other similar diseases.

[0161] In summary, this technical solution improves the accuracy and timeliness of myocardial infarction risk assessment by regularly updating physiological data reference values, optimizes risk assessment and early warning mechanisms, improves the utilization efficiency of medical resources, and promotes scientific research and technological progress.

[0162] In one embodiment of the present invention, the physiological data reference value is compensated and updated according to the number of deaths due to myocardial infarction corresponding to the all-cause mortality rate within the update time interval and its physiological data combined with the all-cause mortality risk prediction value corresponding to each patient who died of myocardial infarction within the update time interval, including:

[0163] S4031, retrieving the predicted risk value of all-cause mortality rate corresponding to each patient who died of myocardial infarction within the update time interval;

[0164] S4032, using the difference between the troponin value corresponding to each patient who died of myocardial infarction within the update time interval and the troponin data reference value in combination with the all-cause mortality risk prediction value corresponding to each patient who died of myocardial infarction to obtain a reference value compensation coefficient corresponding to the troponin data reference value;

[0165] The reference value compensation coefficient corresponding to the troponin data reference value is obtained by the following formula:

[0166]

[0167] Among them, B crepresents the reference value compensation coefficient corresponding to the reference value of troponin data; m represents the number of patients who died of myocardial infarction within the update time interval; C xi represents the difference between the troponin value of the i-th patient who died of myocardial infarction within the update time interval and the troponin data reference value; Q g represents the all-cause mortality rate of myocardial infarction corresponding to the update time interval; C s Indicates the upper limit of the standard range of troponin values; Y i represents the risk prediction value of all-cause mortality of the i-th patient who died of myocardial infarction; P s represents the error rate of all-cause mortality risk prediction within the update time interval; Y b represents the standard deviation of the risk prediction value of all-cause mortality of n patients who died of myocardial infarction; Q x Indicates the all-cause mortality value corresponding to the preset time period;

[0168] S4033, using the difference between the electrocardiogram ST segment elevation amplitude value corresponding to each patient who died of myocardial infarction within the update time interval and the electrocardiogram ST segment elevation amplitude reference value in combination with the all-cause mortality risk prediction value corresponding to each patient who died of myocardial infarction to obtain a reference value compensation coefficient corresponding to the electrocardiogram ST segment elevation amplitude reference value;

[0169] The reference value compensation coefficient corresponding to the reference value of the electrocardiogram ST segment elevation amplitude is obtained by the following formula:

[0170]

[0171] Among them, B s represents the reference value compensation coefficient corresponding to the reference value of the electrocardiogram ST segment elevation amplitude; m represents the number of patients who died of myocardial infarction within the update time interval; S xi represents the difference between the electrocardiogram ST segment elevation amplitude value corresponding to the i-th patient who died of myocardial infarction within the update time interval and the electrocardiogram ST segment elevation amplitude reference value; Q g represents the all-cause mortality rate of myocardial infarction corresponding to the update time interval; S c Indicates the upper limit of the standard range of ST segment elevation on the electrocardiogram; Y i represents the risk prediction value of all-cause mortality of the i-th patient who died of myocardial infarction; P s represents the error rate of all-cause mortality risk prediction within the update time interval; Y b represents the standard deviation of the risk prediction value of all-cause mortality of n patients who died of myocardial infarction; Q x Indicates the all-cause mortality value corresponding to the preset time period;

[0172] S4034. Obtain a compensated troponin data reference value using a reference value compensation coefficient corresponding to the troponin data reference value; wherein the compensated troponin data reference value is obtained by the following formula:

[0173]

[0174] Among them, J t01 represents the reference value of troponin data after compensation; J c01 Indicates the reference value of troponin data; B c Indicates the reference value compensation coefficient corresponding to the reference value of troponin data;

[0175] S4035, using the reference value compensation coefficient corresponding to the electrocardiogram ST segment elevation amplitude reference value to obtain the compensated electrocardiogram ST segment elevation amplitude reference value, wherein the compensated electrocardiogram ST segment elevation amplitude reference value is obtained by the following formula:

[0176]

[0177] Among them, J t02 Indicates the reference value of the ST segment elevation amplitude of the electrocardiogram after compensation; J c02 Indicates the reference value of the ST segment elevation amplitude of the electrocardiogram; B s Indicates the reference value compensation coefficient corresponding to the reference value of the electrocardiogram ST segment elevation amplitude.

[0178] The working principle of the above technical solution is as follows: at this stage, the system will retrieve the predicted risk value of all-cause mortality corresponding to each patient who died of myocardial infarction within the update time interval. These predicted values ​​are calculated by the risk assessment model based on the patient's physiological data (such as troponin values ​​and electrocardiogram ST segment elevation amplitude values). The system will calculate the difference between the troponin value of each patient who died of myocardial infarction and the troponin data reference value, and combine these differences with the corresponding predicted risk value of all-cause mortality to calculate the reference value compensation coefficient (Bc) corresponding to the troponin data reference value through a specific formula. This coefficient reflects the degree of adjustment that needs to be made to the troponin data reference value based on the difference between the actual death case and the predicted value within a specific time period. Similarly, the system will calculate the difference between the electrocardiogram ST segment elevation amplitude value and the electrocardiogram ST segment elevation amplitude reference value for each patient who died of myocardial infarction, and combine these differences with the corresponding predicted risk value of all-cause mortality to calculate the reference value compensation coefficient corresponding to the electrocardiogram ST segment elevation amplitude reference value through a specific formula. This coefficient also reflects the degree of adjustment that needs to be made to the reference value of the electrocardiogram ST segment elevation amplitude data within a specific time period. Using the calculated troponin data reference value compensation coefficient and the electrocardiogram ST segment elevation amplitude compensation coefficient, the system will compensate and update the original troponin data reference value and the electrocardiogram ST segment elevation amplitude reference value. The updated reference value will more accurately reflect the current physiological state and risk level of myocardial infarction patients.

[0179] The effect of the above technical solution is: by combining the difference between actual death cases and predicted values, the physiological data reference values ​​are compensated and updated, which can significantly improve the accuracy of the reference values. This helps to more accurately assess the risk level of patients with myocardial infarction and provide doctors with more reliable treatment recommendations. By continuously updating the physiological data reference values, the technical solution can be fed back into the risk assessment model to further optimize the model's predictive ability. Over time, the model will be able to better adapt to new data and patient characteristics, improving the accuracy and reliability of predictions. Accurate physiological data reference values ​​and risk assessment models can provide doctors with more scientific medical decision support. Doctors can develop personalized treatment plans and monitoring strategies based on the patient's physiological data and risk level, thereby improving the treatment effect and the patient's quality of life. Accurate risk assessment and prediction help doctors allocate medical resources more reasonably. For high-risk patients, more active treatment measures and monitoring strategies can be adopted; for low-risk patients, more conservative treatment plans can be adopted to avoid unnecessary waste of medical resources. This technical solution provides valuable data support for scientific research and clinical research. By collecting and analyzing actual death cases and their physiological data, we can further explore the pathogenesis, risk assessment methods and treatment methods of myocardial infarction, and provide new ideas and methods for future research and clinical practice.

[0180] At the same time, by combining the predicted risk value of all-cause mortality and its physiological data (troponin value and electrocardiogram ST segment elevation amplitude value) of patients who died of myocardial infarction within the update time interval, the technical solution can dynamically adjust and optimize the reference value of physiological data (troponin data reference value and electrocardiogram ST segment elevation amplitude reference value). This dynamic optimization mechanism helps to make the reference value of physiological data closer to the actual situation of the current patient, thereby improving the accuracy and reliability of myocardial infarction risk prediction. By introducing the reference value compensation coefficient, the technical solution can take into account the differences between different patients and the fluctuations of the predicted risk value of all-cause mortality, so as to compensate the reference value of physiological data more accurately. This precise compensation helps to improve the accuracy of myocardial infarction risk prediction and reduce the risk of false positives and false negatives. The technical solution can flexibly adjust the reference value of physiological data according to different update time intervals and different patient groups. This adaptability helps the model to cope with challenges in different scenarios and improve the generalization and robustness of the model. Through more accurate risk prediction and dynamic adjustment of physiological data reference values, the technical solution can help doctors allocate medical resources more effectively. For high-risk patients, further examinations and treatments can be arranged as a priority, thus ensuring that limited medical resources can be used to the greatest extent possible. Accurate risk prediction and timely intervention measures can help improve patient safety. Doctors can take necessary preventive measures and treatment plans in a timely manner based on risk prediction results, thereby reducing the probability of myocardial infarction in patients.

[0181] In summary, this technical solution compensates and updates the physiological data reference value by combining the all-cause mortality risk prediction value and actual death case data, significantly improving the accuracy of the reference value and the predictive ability of the risk assessment model. This not only helps to improve the scientific nature of medical decision-making and the rational allocation of medical resources, but also provides valuable data support for scientific research and clinical research.

[0182] The embodiment of the present invention proposes a risk prediction system for all-cause mortality based on myocardial infarction, such as Figure 2 As shown, the all-cause mortality risk prediction system of myocardial infarction includes:

[0183] An information retrieval module is used to retrieve from a database the number of deaths due to myocardial infarction and their physiological data corresponding to the all-cause mortality rate within a preset time period;

[0184] A reference value setting module, used for setting a reference value of physiological data by using the number of deaths due to myocardial infarction and the physiological data thereof corresponding to the all-cause mortality rate within the preset time period;

[0185] The risk prediction module is used to predict the risk of all-cause mortality for each patient with myocardial infarction based on the reference value of physiological data and obtain the risk result of myocardial infarction;

[0186] The compensation adjustment module is used to retrieve the number of deaths due to myocardial infarction and their physiological data corresponding to the all-cause mortality rate within the update time interval from the database according to a preset update time interval, and to compensate and update the physiological data reference value according to the number of deaths due to myocardial infarction and their physiological data corresponding to the all-cause mortality rate within the update time interval.

[0187] The effect of the above technical solution is: by comprehensively considering multiple physiological data indicators and using a large-scale database for training and optimization, the method can more accurately predict the all-cause mortality risk of patients with myocardial infarction. Dynamically updating the physiological data reference value enables the prediction model to reflect the latest clinical and epidemiological characteristics, further improving the accuracy of the prediction. The preset update time interval ensures the timely update of the physiological data reference value, so that the prediction model can keep up with the changes in clinical practice and epidemiological trends. The above method can respond to new clinical evidence and research results more quickly and provide timely and accurate information support for clinical decision-making. By providing personalized all-cause mortality risk prediction for each patient, the method helps doctors to develop more accurate and individualized treatment plans. This can not only improve the treatment effect, but also reduce unnecessary medical costs and improve the efficiency of medical resource utilization. The method can also provide valuable data support for public health departments to formulate prevention and control strategies for myocardial infarction. By analyzing the all-cause mortality risk of myocardial infarction in different populations and regions, public health departments can more accurately identify high-risk areas and populations and take corresponding intervention measures.

[0188] In summary, the all-cause mortality risk prediction method for myocardial infarction achieves accurate and timely prediction of the all-cause mortality risk of myocardial infarction patients by comprehensively considering multiple physiological data indicators, dynamically updating physiological data reference values, and using large-scale databases for training and optimization. This method not only helps to formulate individualized treatment plans, but also provides strong data support for public health decision-making.

[0189] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if the above-mentioned modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include the above-mentioned modifications and variations.

Claims

1. A method for predicting the risk of all-cause mortality based on myocardial infarction, characterized in that: The method for predicting the risk of all-cause mortality due to myocardial infarction includes: Retrieving from the database the number of deaths due to myocardial infarction and their physiological data corresponding to the all-cause mortality rate within a preset time period; wherein the physiological data include troponin values ​​and electrocardiogram ST segment elevation amplitude values; The physiological data reference value is set by using the number of deaths due to myocardial infarction and the physiological data corresponding to the all-cause mortality rate in the preset time period; According to the physiological data reference value, the all-cause mortality risk prediction is performed for each patient detected with myocardial infarction to obtain the myocardial infarction risk result, including when only the troponin value in the physiological data exceeds the troponin data reference value, the difference between the troponin value and the troponin data reference value is used to obtain the first all-cause mortality risk prediction value, and when the amplitude of the troponin value exceeding the all-cause mortality benchmark value exceeds the first amplitude ratio, the patient is judged to have a myocardial infarction risk, and a risk warning is issued; when only the electrocardiogram ST segment elevation amplitude value in the physiological data exceeds the electrocardiogram ST segment elevation amplitude reference value, the second all-cause mortality risk prediction value is obtained by using the difference between the electrocardiogram ST segment elevation amplitude value and the electrocardiogram ST segment elevation amplitude reference value, and when the amplitude of the electrocardiogram ST segment elevation amplitude value exceeding the all-cause mortality benchmark value exceeds the second amplitude ratio, the patient is judged to have a myocardial infarction risk, and a risk warning is issued; when all physiological data exceed the physiological data reference value, the difference between the physiological data and the physiological data reference value is used to obtain the third all-cause mortality risk prediction value, and when the amplitude of the electrocardiogram ST segment elevation amplitude value exceeding the all-cause mortality benchmark value exceeds the third amplitude ratio, the patient is judged to have a myocardial infarction risk, and a risk warning is issued; According to a preset update time interval, the number of deaths due to myocardial infarction and their physiological data corresponding to the all-cause mortality rate within the update time interval are retrieved from the database, and the physiological data reference value is compensated and updated according to the number of deaths due to myocardial infarction and their physiological data corresponding to the all-cause mortality rate within the update time interval.

2. The method for predicting all-cause mortality risk based on myocardial infarction according to claim 1, characterized in that: The number of deaths due to myocardial infarction and their physiological data corresponding to the all-cause mortality rate within a preset time period are retrieved from the database, including: Retrieve a preset time period, wherein the value of the preset time period is 5 years to 10 years; Retrieving the number of deaths due to myocardial infarction corresponding to the all-cause mortality rate within the preset time period; comparing the number of deaths due to myocardial infarction with a preset number threshold; When the number of deaths due to myocardial infarction does not exceed the preset number threshold, the preset time period is expanded by multiples until the number of deaths due to myocardial infarction exceeds the preset number threshold; When the number of deaths due to myocardial infarction exceeds a preset threshold, the physiological data corresponding to each patient who died of myocardial infarction is retrieved.

3. The method for predicting the risk of all-cause mortality based on myocardial infarction according to claim 1, characterized in that: The physiological data reference value is set by using the number of deaths due to myocardial infarction and the physiological data corresponding to the all-cause mortality rate in the preset time period, including: Retrieve the troponin value corresponding to each patient who died of myocardial infarction; Retrieve the age value corresponding to each patient who died of myocardial infarction; Obtaining a troponin data reference value according to the troponin value and age value corresponding to each patient who died of myocardial infarction; The troponin data reference value is obtained by the following formula: in, J c01 represents the reference value of troponin data; n It indicates the number of patients who died of myocardial infarction. A b It represents the standard deviation of the age values ​​corresponding to patients who died of myocardial infarction; A max and A min Indicates the maximum and minimum age values ​​corresponding to patients who died of myocardial infarction; A z It represents the median age value corresponding to patients who died of myocardial infarction; C i Indicates i The troponin values ​​corresponding to the patients who died of myocardial infarction; C b express n The standard deviation of the troponin values ​​corresponding to the patients who died of myocardial infarction; C max express n The maximum troponin value corresponding to the patient who died of myocardial infarction; C s Indicates the upper limit of the standard range of troponin values; Retrieve the electrocardiogram ST segment elevation amplitude value corresponding to each patient who died of myocardial infarction; Obtaining an electrocardiogram ST segment elevation amplitude reference value according to the electrocardiogram ST segment elevation amplitude value and age value corresponding to each patient who died of myocardial infarction; The reference value of the electrocardiogram ST segment elevation amplitude is obtained by the following formula: in, J c02 Indicates the reference value of the ST segment elevation amplitude of the electrocardiogram; n It indicates the number of patients who died of myocardial infarction. A max and A min Indicates the maximum and minimum age values ​​corresponding to patients who died of myocardial infarction; A z It represents the median age value corresponding to patients who died of myocardial infarction; S i Indicates i The value of the electrocardiogram ST segment elevation corresponding to the patient who died of myocardial infarction; S c Indicates the upper limit of the standard range of electrocardiogram ST segment elevation; S max and S min express n The maximum and minimum values ​​of the ST segment elevation amplitude of the electrocardiogram corresponding to each patient; A z It represents the median age value corresponding to patients who died of myocardial infarction; S z It represents the average value of the electrocardiogram ST segment elevation amplitude corresponding to the median age value of patients who died of myocardial infarction.

4. The method for predicting the risk of all-cause mortality based on myocardial infarction according to claim 1, characterized in that: When at least one of the troponin value and the electrocardiogram ST segment elevation amplitude value of each patient currently tested for myocardial infarction exceeds the corresponding physiological data reference value, the all-cause mortality risk prediction is performed and the myocardial infarction risk result is obtained, including: When only the troponin value of the patient with myocardial infarction exceeds the troponin data reference value, the corresponding all-cause mortality rate in the preset first time period is retrieved as the all-cause mortality rate benchmark value; wherein the value range of the first time period is 0.6-0.8 times the preset time period; Obtaining a first all-cause mortality risk prediction value using the difference between the troponin value of the patient with myocardial infarction and the troponin data reference value and the difference between the electrocardiogram ST segment elevation amplitude value and the electrocardiogram ST segment elevation amplitude reference value; Wherein, the first all-cause mortality risk prediction value is obtained by the following formula: in, Y 01 represents the risk prediction value of first-cause all-cause mortality; Q 0 represents the baseline value of all-cause mortality; C x The difference between the troponin value of the patient with myocardial infarction and the troponin data reference value; C s Indicates the upper limit of the standard range of troponin values; S x It indicates the difference between the value of the electrocardiogram ST segment elevation amplitude and the reference value of the electrocardiogram ST segment elevation amplitude; S c Indicates the upper limit of the standard range of electrocardiogram ST segment elevation; When the first all-cause mortality risk prediction value exceeds the all-cause mortality baseline value by more than a first amplitude ratio, the patient is determined to be at risk of myocardial infarction and a risk warning is issued; wherein the value range of the first amplitude ratio is 11.3%-17.1%.

5. The method for predicting the risk of all-cause mortality based on myocardial infarction according to claim 1, characterized in that: When at least one of the troponin value and the electrocardiogram ST segment elevation amplitude value of each patient currently tested for myocardial infarction exceeds the corresponding physiological data reference value, all-cause mortality risk prediction is performed and the myocardial infarction risk result is obtained, which also includes: When only the electrocardiogram ST segment elevation amplitude value of the patient with myocardial infarction detection exceeds the electrocardiogram ST segment elevation amplitude reference value, the corresponding all-cause mortality rate in the preset second time period is retrieved as the all-cause mortality rate benchmark value; wherein the value range of the second time period is 0.5-0.7 times the preset time period; Obtaining a second all-cause mortality risk prediction value using the difference between the troponin value of the patient with myocardial infarction and the troponin data reference value and the difference between the electrocardiogram ST segment elevation amplitude value and the electrocardiogram ST segment elevation amplitude reference value; Among them, the second all-cause mortality risk prediction value is obtained by the following formula: in, Y 02 represents the risk prediction value of second all-cause mortality; Q 0 represents the baseline value of all-cause mortality; C x The difference between the troponin value of the patient with myocardial infarction and the troponin data reference value; C s Indicates the upper limit of the standard range of troponin values; S x It indicates the difference between the value of the electrocardiogram ST segment elevation amplitude and the reference value of the electrocardiogram ST segment elevation amplitude; S c Indicates the upper limit of the standard range of electrocardiogram ST segment elevation; When the second all-cause mortality risk prediction value exceeds the all-cause mortality baseline value by more than the second amplitude ratio, the patient is judged to be at risk of myocardial infarction and a risk warning is issued; wherein the value range of the second amplitude ratio is 6.8%-13.2%.

6. The method for predicting the risk of all-cause mortality based on myocardial infarction according to claim 1, characterized in that: When at least one of the troponin value and the electrocardiogram ST segment elevation amplitude value of each patient currently tested for myocardial infarction exceeds the corresponding physiological data reference value, all-cause mortality risk prediction is performed and the myocardial infarction risk result is obtained, which also includes: When the troponin value and the electrocardiogram ST segment elevation amplitude value of the patient with myocardial infarction detection both exceed their corresponding physiological data reference values, the corresponding all-cause mortality rate in the preset third time period is retrieved as the all-cause mortality rate benchmark value; wherein the value range of the third time period is 0.2-0.5 times the preset time period; Obtaining a third all-cause mortality risk prediction value using the difference between the troponin value of the patient with myocardial infarction and the troponin data reference value and the difference between the electrocardiogram ST segment elevation amplitude value and the electrocardiogram ST segment elevation amplitude reference value; The third all-cause mortality risk prediction value is obtained by the following formula: in, Y 03 represents the risk prediction value of the third all-cause mortality; Q 0 represents the baseline value of all-cause mortality; Q x Indicates the all-cause mortality value corresponding to the preset time period; C x The difference between the troponin value of the patient with myocardial infarction and the troponin data reference value; C s Indicates the upper limit of the standard range of troponin values; S x It indicates the difference between the value of the electrocardiogram ST segment elevation amplitude and the reference value of the electrocardiogram ST segment elevation amplitude; S c Indicates the upper limit of the standard range of electrocardiogram ST segment elevation; When the third all-cause mortality risk prediction value exceeds the all-cause mortality baseline value by more than the third amplitude ratio, the patient is determined to be at risk of myocardial infarction and a risk warning is issued; wherein the value range of the third amplitude ratio is 2.8%-7.3%.

7. The method for predicting the risk of all-cause mortality based on myocardial infarction according to claim 1, characterized in that: According to a preset update time interval, the number of deaths due to myocardial infarction and the physiological data thereof corresponding to the all-cause mortality rate within the update time interval are retrieved from the database, and the physiological data reference value is compensated and updated according to the number of deaths due to myocardial infarction and the physiological data thereof corresponding to the all-cause mortality rate within the update time interval, including: Retrieve the preset update time interval; According to a preset update time interval, the number of deaths due to myocardial infarction and the physiological data thereof corresponding to the all-cause mortality rate within the update time interval are retrieved from the database; wherein the physiological data include troponin values ​​and electrocardiogram ST segment elevation amplitude values; The physiological data reference value is compensated and updated according to the number of deaths due to myocardial infarction and their physiological data corresponding to the all-cause mortality rate within the update time interval and the all-cause mortality risk prediction value corresponding to each patient who died of myocardial infarction within the update time interval.

8. The method for predicting the risk of all-cause mortality based on myocardial infarction according to claim 7, characterized in that: The physiological data reference value is compensated and updated according to the number of deaths due to myocardial infarction corresponding to the all-cause mortality rate within the update time interval and its physiological data combined with the all-cause mortality risk prediction value corresponding to each patient who died of myocardial infarction within the update time interval, including: Retrieving the predicted risk value of all-cause mortality rate corresponding to each patient who died of myocardial infarction within the update time interval; Obtaining a reference value compensation coefficient corresponding to the troponin data reference value by using the difference between the troponin value corresponding to each patient who died of myocardial infarction within the update time interval and the troponin data reference value in combination with the all-cause mortality risk prediction value corresponding to each patient who died of myocardial infarction; The reference value compensation coefficient corresponding to the troponin data reference value is obtained by the following formula: in, B c Indicates the reference value compensation coefficient corresponding to the reference value of troponin data; m represents the number of patients who died of myocardial infarction during the update time interval; C xi Indicates the update interval. i The difference between the troponin values ​​of patients who died of myocardial infarction and the reference values ​​of troponin data; Q g represents the all-cause mortality rate of myocardial infarction corresponding to the update time interval; C s Indicates the upper limit of the standard range of troponin values; Y i Indicates i The risk prediction value of all-cause mortality in patients who died of myocardial infarction; P s represents the error rate of all-cause mortality risk prediction within the update interval; Y b express n The standard deviation of the risk prediction value for all-cause mortality in patients who died of myocardial infarction; Q x Indicates the all-cause mortality value corresponding to the preset time period; Obtaining a reference value compensation coefficient corresponding to the electrocardiogram ST segment elevation amplitude reference value by using the difference between the electrocardiogram ST segment elevation amplitude value corresponding to each patient who died of myocardial infarction within the update time interval and the electrocardiogram ST segment elevation amplitude reference value in combination with the all-cause mortality risk prediction value corresponding to each patient who died of myocardial infarction; The reference value compensation coefficient corresponding to the reference value of the electrocardiogram ST segment elevation amplitude is obtained by the following formula: in, B s Indicates the reference value compensation coefficient corresponding to the reference value of the electrocardiogram ST segment elevation amplitude; m represents the number of patients who died of myocardial infarction during the update time interval; S xi Indicates the update interval. i The difference between the electrocardiogram ST segment elevation amplitude value corresponding to the patient who died of myocardial infarction and the electrocardiogram ST segment elevation amplitude reference value; Q g represents the all-cause mortality rate of myocardial infarction corresponding to the update time interval; S c Indicates the upper limit of the standard range of electrocardiogram ST segment elevation; Y i Indicates i The risk prediction value of all-cause mortality in patients who died of myocardial infarction; P s represents the error rate of all-cause mortality risk prediction within the update interval; Y b express n The standard deviation of the risk prediction value for all-cause mortality in patients who died of myocardial infarction; Q x Indicates the all-cause mortality value corresponding to the preset time period; The compensated troponin data reference value is obtained by using the reference value compensation coefficient corresponding to the troponin data reference value; wherein the compensated troponin data reference value is obtained by the following formula: in, J t01 represents the reference value of compensated troponin data; J c01 represents the reference value of troponin data; B c Indicates the reference value compensation coefficient corresponding to the reference value of troponin data; The reference value compensation coefficient corresponding to the electrocardiogram ST segment elevation amplitude reference value is used to obtain the compensated electrocardiogram ST segment elevation amplitude reference value, wherein the compensated electrocardiogram ST segment elevation amplitude reference value is obtained by the following formula: in, J t02 It indicates the reference value of the ST segment elevation amplitude of the electrocardiogram after compensation; J c02 Indicates the reference value of the ST segment elevation amplitude of the electrocardiogram; B s Indicates the reference value compensation coefficient corresponding to the reference value of the electrocardiogram ST segment elevation amplitude.

9. A risk prediction system for all-cause mortality based on myocardial infarction, characterized in that: The all-cause mortality risk prediction system for myocardial infarction includes: An information retrieval module is used to retrieve from a database the number of deaths due to myocardial infarction and their physiological data corresponding to the all-cause mortality rate within a preset time period; wherein the physiological data includes troponin values ​​and electrocardiogram ST segment elevation amplitude values; A reference value setting module, used to set physiological data reference values ​​using the number of deaths due to myocardial infarction and physiological data corresponding to the all-cause mortality rate within the preset time period; The risk prediction module is used to predict the all-cause mortality risk for each patient with myocardial infarction according to the physiological data reference value, and obtain the myocardial infarction risk result. When only the troponin value in the physiological data exceeds the troponin data reference value, the difference between the troponin value and the troponin data reference value is used to obtain the first all-cause mortality risk prediction value. When the amplitude of the troponin value exceeding the all-cause mortality benchmark value exceeds the first amplitude ratio, it is determined that the patient has a myocardial infarction risk and a risk warning is issued; when only the electrocardiogram ST segment elevation amplitude value in the physiological data exceeds the electrocardiogram ST segment elevation amplitude value, the patient is judged to have a myocardial infarction risk and a risk warning is issued. When the amplitude reference value is used, the difference between the electrocardiogram ST segment elevation amplitude value and the electrocardiogram ST segment elevation amplitude reference value is used to obtain the second all-cause mortality risk prediction value. When the amplitude by which it exceeds the all-cause mortality benchmark value exceeds the second amplitude ratio, it is determined that the patient has a risk of myocardial infarction, and a risk warning is issued; when both physiological data exceed the physiological data reference value, the difference between the physiological data and the physiological data reference value is used to obtain the third all-cause mortality risk prediction value. When the amplitude by which it exceeds the all-cause mortality benchmark value exceeds the third amplitude ratio, it is determined that the patient has a risk of myocardial infarction, and a risk warning is issued; The compensation adjustment module is used to retrieve the number of deaths due to myocardial infarction and their physiological data corresponding to the all-cause mortality rate within the update time interval from the database according to a preset update time interval, and to compensate and update the physiological data reference value according to the number of deaths due to myocardial infarction and their physiological data corresponding to the all-cause mortality rate within the update time interval.

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