Physical sign data processing system and method for department of cardiology

Abstract

According to the cardiology physical sign data processing system and method provided by the invention, various physical sign data are scored by using a cardiology scoring tool, main risk factors and risk levels of cardiology diseases of a patient are screened out according to a scoring result, and a physical sign data-risk model is constructed; processing the sign data of the target patient by using the sign data-risk model to obtain a cardiology disease risk factor estimation result of the target patient, obtaining a cardiology disease risk factor estimation result data set of the target patient through multiple times of scoring, performing weighting on the risk factors in the data set to obtain a risk factor weight value, and calculating the risk factor weight value according to the risk factor weight value. According to the method and the system, the risk factor investigation priority is established, and further cardiology disease investigation is performed on the target patient according to the risk factor investigation priority, so that the processing efficiency and result of the sign data of the cardiology patient are effectively improved, and the processing of the sign data of the cardiology patient is more systematic and reasonable.

Description

Technical Field

[0001] The present invention relates to the technical field of data processing, and in particular to a cardiology vital sign data processing system and method. Background Art

[0002] Cardiology, also known as cardiovascular medicine, is a clinical department set up in the general internal medicine departments of hospitals at all levels for the diagnosis and treatment of cardiovascular diseases. The diseases treated include angina pectoris, hypertension, sudden death, arrhythmia, heart failure, premature beats, irregular heartbeat, myocardial infarction, cardiomyopathy, myocarditis, acute myocardial infarction and other cardiovascular diseases.

[0003] The above-mentioned diseases often have the characteristics of high recurrence rate, many complications, high morbidity rate, high disability rate and mortality rate. Therefore, it is very important to process the vital sign data of cardiology patients. The existing technology lacks a perfect system for processing the vital sign data of cardiology patients. Therefore, there is an urgent need for a cardiology vital sign data processing system and method that can solve the above problems. Summary of the invention

[0004] The purpose of the present invention is to provide a cardiology vital sign data processing system and method to solve the problems existing in the above-mentioned prior art.

[0005] To achieve the above object, the present invention provides the following solutions:

[0006] The present invention provides a cardiology vital sign data processing method, comprising the following steps:

[0007] S1. Collect all the vital signs data of cardiology patients and use the cardiology scoring tool to score each vital sign data;

[0008] S2. Screen out the main risk factors and risk levels of patients' cardiology diseases based on the scoring results, and construct a physical sign data-risk model;

[0009] S3. Processing the physical sign data of the target patient using the physical sign data-risk model to obtain the estimated results of the target patient's cardiology disease risk factors, and obtaining a data set of the estimated results of the target patient's cardiology disease risk factors through multiple scoring;

[0010] S4. Weight the risk factors in the data set, obtain the risk factor weight values, and establish the risk factor screening priority;

[0011] S5. Conduct further cardiology screening for target patients based on risk factor screening priorities.

[0012] Preferably, in step S1, the scoring tools include GRACE, TIMI, CRUSADE, ACUITY, DAPT, China-PAR, Duke, SYNTAX, CHA2DS2-VASc, and HAS-BLED.

[0013] Preferably, in step S2, the main risk factors for cardiology diseases include coronary heart disease, hypertension, hypotension, heart failure, arrhythmia, myocarditis, cardiomyopathy, valvular heart disease, myocardial infarction, angina pectoris, hyperlipidemia, cardiac neurosis, preexcitation syndrome, atrial septal defect, rheumatic heart disease, senile valvular degeneration, acute infective endocarditis, pericarditis, atrioventricular conduction block, and cardiac tumors.

[0014] Preferably, in step S2, the risk levels include no risk, low risk, medium risk and high risk.

[0015] Preferably, in step S3, the scoring data are arranged in descending order to obtain a dataset of estimated results of cardiovascular disease risk factors for target patients.

[0016] Preferably, step S4 comprises:

[0017] S41. Calculate the weighted vector;

[0018] S42. Calculate the absolute weight value, and perform data weighting on the data in the target patient's cardiology disease risk factor estimation result data set and the corresponding weighting vector, so as to obtain the absolute weight value of the target patient's cardiology disease risk factor estimation result;

[0019] S43. The relative weight of the estimated results of the target patient's cardiology disease risk factors is calculated using the absolute weight value of the estimated results of the target patient's cardiology disease risk factors, and finally the weight value is calculated.

[0020] Preferably, it also includes:

[0021] S6. Generate a report based on the investigation results.

[0022] Preferably, it also includes:

[0023] S7. Store the screening results and use them to modify the physical sign data-risk model.

[0024] The present invention also provides a cardiology vital sign data processing system, comprising:

[0025] The acquisition module is used to collect vital sign data of patients in the cardiology department;

[0026] A storage module, used for storing vital sign data;

[0027] Model generation module, used to generate and modify the physical sign data-risk model;

[0028] The data processing module is used to score and process the physical sign data, generate the main risk factors and risk levels of cardiology diseases and the estimated results of the risk factors of cardiology diseases of the target patients, and obtain the priority of risk factor screening;

[0029] Display module, used to generate troubleshooting result report.

[0030] Compared with the prior art, the present invention has achieved the following beneficial technical effects:

[0031] The present invention provides a cardiology vital sign data processing system and method. The system scores various vital sign data by using a cardiology scoring tool, screens out the main risk factors and risk levels of the patient's cardiology diseases based on the scoring results, constructs a vital sign data-risk model, and uses the vital sign data-risk model to process the vital sign data of a target patient to obtain an estimated result of the target patient's cardiology disease risk factors. A data set of estimated results of the target patient's cardiology disease risk factors is obtained through multiple scorings. The risk factors in the data set are weighted to obtain risk factor weight values, and a risk factor screening priority is established. According to the risk factor screening priority, the target patient is further screened for cardiology diseases, thereby effectively improving the processing efficiency and results of the vital sign data of cardiology patients, and making the processing of the vital sign data of cardiology patients more systematic and reasonable. DETAILED DESCRIPTION

[0032] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0033] The purpose of the present invention is to provide a cardiology vital sign data processing system and method to solve the problems existing in the prior art.

[0034] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below in conjunction with specific implementation methods.

[0035] Embodiment 1:

[0036] This embodiment provides a cardiology vital sign data processing method, comprising the following steps:

[0037] S1. Collect all the vital signs data of cardiology patients and use the cardiology scoring tool to score each vital sign data;

[0038] Scoring tools include GRACE, TIMI, CRUSADE, ACUITY, DAPT, China-PAR, Duke, SYNTAX, CHA2DS2-VASc, HAS-BLED, etc.

[0039] S2. Screen out the main risk factors and risk levels of patients' cardiology diseases based on the scoring results, and construct a physical sign data-risk model;

[0040] The main risk factors for cardiology diseases include coronary heart disease, hypertension, hypotension, heart failure, arrhythmia, myocarditis, cardiomyopathy, valvular heart disease, myocardial infarction, angina pectoris, hyperlipidemia, cardiac neurosis, preexcitation syndrome, atrial septal defect, rheumatic heart disease, senile valvular degeneration, acute infective endocarditis, pericarditis, atrioventricular conduction block, cardiac tumors and other common diseases in cardiology;

[0041] Risk levels include no risk, low risk, medium risk, and high risk;

[0042] S3. Processing the physical sign data of the target patient using the physical sign data-risk model to obtain the estimated results of the target patient's cardiology disease risk factors, and obtaining a data set of the estimated results of the target patient's cardiology disease risk factors through multiple scoring;

[0043] After arranging the scoring data in descending order, a dataset of estimated risk factors of cardiovascular diseases of target patients is obtained;

[0044] S4. Weight the risk factors in the data set, obtain the risk factor weight values, and establish the risk factor screening priority;

[0045] Specifically include:

[0046] S41. Calculate the weighted vector;

[0047] S42. Calculate the absolute weight value, and perform data weighting on the data in the target patient's cardiology disease risk factor estimation result data set and the corresponding weighting vector, so as to obtain the absolute weight value of the target patient's cardiology disease risk factor estimation result;

[0048] S43. Calculate the relative weight of the estimated result of the target patient's cardiology disease risk factor using the absolute weight value of the estimated result of the target patient's cardiology disease risk factor, and finally calculate the weight value;

[0049] S5. Conduct further cardiology screening for target patients based on risk factor screening priorities;

[0050] S6. Generate a report based on the investigation results;

[0051] S7. Store the screening results and use them to modify the physical sign data-risk model.

[0052] This embodiment also provides a cardiology vital sign data processing system for implementing the above method, comprising:

[0053] The acquisition module is used to collect vital sign data of patients in the cardiology department;

[0054] A storage module, used for storing vital sign data;

[0055] Model generation module, used to generate and modify the physical sign data-risk model;

[0056] The data processing module is used to score and process the physical sign data, generate the main risk factors and risk levels of cardiology diseases and the estimated results of the risk factors of cardiology diseases of the target patients, and obtain the priority of risk factor screening;

[0057] Display module, used to generate troubleshooting result report.

[0058] The present invention uses specific examples to illustrate the principles and implementation methods of the present invention. The above examples are only used to help understand the method and core ideas of the present invention. At the same time, for those skilled in the art, according to the ideas of the present invention, there will be changes in the specific implementation methods and application scopes. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A cardiology vital sign data processing method, characterized by: The following steps are involved: S1. Collect all the vital signs data of cardiology patients and use the cardiology scoring tool to score each vital sign data; S2. Screen out the main risk factors and risk levels of patients' cardiology diseases based on the scoring results, and construct a physical sign data-risk model; S3. Processing the physical sign data of the target patient using the physical sign data-risk model to obtain the estimated results of the target patient's cardiology disease risk factors, and obtaining a data set of the estimated results of the target patient's cardiology disease risk factors through multiple scoring; S4. Weight the risk factors in the data set, obtain the risk factor weight values, and establish the risk factor screening priority; S5. Conduct further cardiology screening for target patients based on risk factor screening priorities.

2. The cardiology vital sign data processing method according to claim 1, characterized in that: In step S1, the scoring tools include GRACE, TIMI, CRUSADE, ACUITY, DAPT, China-PAR, Duke, SYNTAX, CHA2DS2-VASc, and HAS-BLED.

3. The cardiology vital sign data processing method according to claim 1, characterized in that: In step S2, the main risk factors for cardiology diseases include coronary heart disease, hypertension, hypotension, heart failure, arrhythmia, myocarditis, cardiomyopathy, valvular heart disease, myocardial infarction, angina pectoris, hyperlipidemia, cardiac neurosis, preexcitation syndrome, atrial septal defect, rheumatic heart disease, senile valvular degeneration, acute infective endocarditis, pericarditis, atrioventricular conduction block, and cardiac tumors.

4. The cardiology vital sign data processing method according to claim 1, characterized in that: In step S2, the risk levels include no risk, low risk, medium risk and high risk.

5. The cardiology vital sign data processing method according to claim 1, characterized in that: In step S3, the scoring data are arranged in descending order to obtain a dataset of estimated results of the target patient's cardiology disease risk factors.

6. The cardiology vital sign data processing method according to claim 5, characterized in that: Step S4 includes: S41. Calculate the weighted vector; S42. Calculate the absolute weight value, and perform data weighting on the data in the target patient's cardiology disease risk factor estimation result data set and the corresponding weighting vector, so as to obtain the absolute weight value of the target patient's cardiology disease risk factor estimation result; S43. The relative weight of the estimated results of the target patient's cardiology disease risk factors is calculated using the absolute weight value of the estimated results of the target patient's cardiology disease risk factors, and finally the weight value is calculated.

7. The cardiology vital sign data processing method according to claim 1, characterized in that: Also includes: S6. Generate a report based on the investigation results.

8. The cardiology vital sign data processing method according to claim 1, characterized in that: Also includes: S7. Store the screening results and use them to modify the physical sign data-risk model.

9. A cardiology vital sign data processing system, characterized in that: include: The acquisition module is used to collect vital sign data of patients in the cardiology department; A storage module, used for storing vital sign data; Model generation module, used to generate and modify the physical sign data-risk model; The data processing module is used to score and process the physical sign data, generate the main risk factors and risk levels of cardiology diseases and the estimated results of the risk factors of cardiology diseases of the target patients, and obtain the priority of risk factor screening; Display module, used to generate troubleshooting result report.