A cardiovascular risk assessment and management system

Abstract

The present invention relates to the technical field of risk assessment, and specifically discloses a cardiovascular risk assessment and management system, including: a single-parameter assessment module: extracting single impact parameters of past patients, obtaining risk values of the single impact parameters, and constructing a single-parameter risk assessment model; a combined assessment module: used to provide a combined risk assessment model, which includes at least two single-parameter risk assessment models, and each single-parameter risk assessment model is provided with a corresponding weight value; the present invention helps to timely discover potential cardiovascular health risks, and by introducing the combined assessment module, the present invention realizes a more comprehensive assessment of cardiovascular risks, not only improving the accuracy of the assessment, but also reducing the calculation amount and improving the assessment speed by optimizing the calculation process, which provides strong support for the health management and risk prevention of target professionals.

Description

Technical Field

[0001] The present invention relates to the technical field of risk assessment, and particularly to a cardiovascular risk assessment and management system. Background Art

[0002] Traditional cardiovascular risk assessment methods, such as static questionnaires and regular physical examinations, although can reflect the cardiovascular health status of individuals to a certain extent, they are inadequate in dealing with scenarios with multiple influencing factors. For example, work pressure, intensity, duration, working height, and electromagnetic radiation exposure levels exert additional pressure on the cardiovascular system of target workers, and these factors are often overlooked in traditional risk assessment methods. Traditional methods are difficult to capture and accurately evaluate in real time. Moreover, individual differences have a significant impact on high cardiovascular risks, but traditional risk assessment methods often adopt a "one-size-fits-all" assessment standard, ignoring these key factors.

[0003] Therefore, there are obvious deficiencies in the existing technology when assessing cardiovascular risks, including single assessment methods, incomplete assessment indicators, inability to reflect cardiovascular pressure changes in the process of life and work in real time, and ignoring individual differences. These problems not only limit the accuracy of risk assessment, but also affect the effective management of the cardiovascular health of target personnel and the timeliness of risk prevention. Therefore, it is particularly important to develop a cardiovascular risk assessment and management system that can comprehensively consider various factors and achieve real-time, accurate, and comprehensive assessment. Summary of the Invention

[0004] The purpose of the present invention is to provide a cardiovascular risk assessment and management system to solve at least one of the above-mentioned problems of the existing technology.

[0005] The present invention provides a cardiovascular risk assessment and management system, including:

[0006] Single parameter assessment module: Based on the cardiovascular patient database, extract the single influencing parameter of past patients, obtain the risk value of the single influencing parameter, and construct a single parameter risk assessment model;

[0007] Among them, the process of obtaining the risk value of the single influencing parameter is:

[0008] Obtain the real-time single influencing parameter of the target person in the target time period and mark it as the target real-time parameter value;

[0009] Among them, the target time period includes several analysis cycles;

[0010] Based on the target real-time parameter value and the parameter symptom range, analyze the real-time change situation of the target real-time parameter value to obtain the total symptom difference ratio;

[0011] Meanwhile, extract the average value of the parameter symptom range in each comparison period to obtain the parameter symptom average value. Based on the parameter symptom average value and the parameter symptom range, analyze the change trend and fluctuation trend ratio of the parameter symptom average value.

[0012] Then, calculate the ratio of the total symptom difference ratio to the fluctuation trend ratio to obtain the risk value of a single influencing parameter.

[0013] Combined evaluation module: used to provide a combined risk assessment model, which includes at least two single-parameter risk assessment models, and each single-parameter risk assessment model is provided with a corresponding weight value.

[0014] Advantages of the present invention:

[0015] The present invention provides strong support for the health management of cardiovascular health management target personnel, helps to timely discover potential cardiovascular health risks. And by introducing a combined evaluation module, the present invention realizes a more comprehensive assessment of cardiovascular risks, not only improves the accuracy of the assessment, but also reduces the calculation amount and improves the assessment speed by optimizing the calculation process, which provides strong support for the health management and risk prevention of target personnel. Description of the drawings

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following-described drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0017] Figure 1 is a flowchart of a cardiovascular risk assessment and management system provided in Embodiment 1 of the present invention;

[0018] Figure 2 is a schematic structural diagram of a cardiovascular risk assessment and management system provided by the present invention;

[0019] Figure 3 is a schematic structural diagram of a computer device provided in Embodiment 4 of the present invention. Detailed implementation manners

[0020] In order to enable those skilled in the art to better understand the solution of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0021] Example 1

[0022] Figure 1 FIG. is a flowchart of a cardiovascular risk assessment and management system provided by Embodiment 1 of the present invention. The embodiment of the present invention is applicable to the situation of cardiovascular risk assessment and management. The cardiovascular risk assessment and management system can be implemented by software and / or hardware, and the cardiovascular risk assessment and management system can be configured in a cardiovascular risk assessment and management device. Optionally, a cardiovascular risk assessment and management device can be an electronic device, and the electronic device can be a notebook, a desktop computer, a smart tablet, etc. The embodiment of the present invention does not limit this.

[0023] As Figure 1 shown, a cardiovascular risk assessment and management system provided by an embodiment of the present invention specifically includes:

[0024] Single parameter evaluation module: Based on the cardiovascular patient database, extract the single impact parameters of past patients, obtain the risk values of the single impact parameters, and construct a single parameter risk assessment model;

[0025] Among them, the single impact parameter can be: working pressure, working intensity, working hours, working height, electromagnetic radiation exposure level;

[0026] Past patients refer to cardiovascular patients in the cardiovascular patient database;

[0027] In some embodiments, based on the cardiovascular patient database, extract the single impact parameters of past patients during the comparison period before the sudden onset of cardiovascular disease, and evenly divide the comparison period into several comparison cycles, and respectively obtain the single parameter values of past patients in each comparison cycle;

[0028] It should be explained that the comparison cycle can be: 10 minutes, 30 minutes;

[0029] Based on any one comparison cycle, sort the single parameter values of all past patients (sort according to the numerical size of the single parameter values, where the sorting is in ascending order), and based on the sorting of the single parameter values, obtain the first quartile Q1 and the third quartile Q3, so as to obtain the parameter symptom range [Q1, Q3];

[0030] It should be explained that the first quartile divides the sorting of the single parameter values into four equal parts. The first quartile is the data at the first quarter position (if there is no data at the first quarter position, then take the value downward to the nearest data point position). Similarly, the third quartile is the data at the third quarter position (if there is no data at the third quarter position, then take the value upward to the nearest data point position);

[0031] It should be noted that the parameter symptom range represents the prevalence of a single parameter value in the entire cardiovascular patient population during each comparison period before the sudden onset of vascular diseases;

[0032] Monitor the single impact parameter of the target person, and based on the parameter symptom range of past patients, conduct parameter trend analysis to obtain the risk value of the single impact parameter;

[0033] Among them, the target person is the person who needs to conduct a cardiovascular disease risk assessment;

[0034] Specifically, the process of obtaining the risk value of the single impact parameter is as follows:

[0035] Obtain the real-time single impact parameter of the target person within the target time period and mark it as the target real-time parameter value;

[0036] Among them, the target time period includes several analysis cycles;

[0037] It should be noted that the duration of the target time period is equal to that of the comparison time period, and the number and duration of the analysis cycles are both equal to those of the comparison cycles;

[0038] It should be further noted that the target time period is updated in real time with time;

[0039] Based on any analysis cycle, in the two-dimensional coordinate system with time as the X-axis and the target real-time parameter value as the Y-axis, draw the target real-time parameter curve. At the same time, in the two-dimensional coordinate system, draw the parameter symptom range of the corresponding comparison cycle of this analysis cycle;

[0040] Extract the part of the target real-time parameter curve that is not within the parameter symptom range, mark it as the out-of-curve segment, and obtain the area enclosed between all the out-of-curve segments and the boundary of the parameter symptom range within the analysis cycle to obtain the symptom difference value. Then, calculate the ratio of the symptom difference value to the area of the parameter symptom range to obtain the symptom difference ratio;

[0041] It should be noted that within the analysis cycle, if the target real-time parameter curve is all within the parameter symptom range, the value of the symptom difference value is zero;

[0042] Then, sum up the symptom difference ratios of all analysis cycles to obtain the total symptom difference ratio;

[0043] At the same time, extract the average value of the parameter symptom range within each comparison cycle to obtain the parameter symptom mean value. In the two-dimensional coordinate system with the comparison cycle as the X-axis and the parameter symptom mean value as the Y-axis, draw the cycle parameter symptom broken line;

[0044] Extract the mean value of the target real-time parameters of the target personnel in each analysis period (the mean value of the target real-time parameters is the average of the target real-time parameter values of the target personnel within the analysis period), and establish a two-dimensional coordinate system with the analysis period as the X-axis and the mean value of the target real-time parameters as the Y-axis to draw a line graph of the periodic real-time parameters;

[0045] Based on the periodic parameter symptom line graph, obtain the change trend (rising, falling, and stable) of the periodic parameter symptom sub-line graph (the periodic parameter symptom sub-line graph is the part of the periodic parameter symptom line graph between two adjacent comparison periods), and based on the periodic real-time parameter line graph, obtain the change trend (rising, falling, and stable) of the periodic real-time parameter sub-line graph (the periodic real-time parameter sub-line graph is the part of the periodic real-time parameter line graph between two adjacent analysis periods);

[0046] Compare the change trends of the periodic parameter symptom sub-line graph and the corresponding periodic real-time parameter sub-line graph;

[0047] If the change trends of the periodic parameter symptom sub-line graph and the periodic real-time parameter sub-line graph are the same, mark the periodic real-time parameter sub-line graph as a segment with the same fluctuation trend;

[0048] If the change trends of the periodic parameter symptom sub-line graph and the periodic real-time parameter sub-line graph are different, mark the periodic real-time parameter sub-line graph as a segment with a different fluctuation trend;

[0049] Extract the total number of segments with the same fluctuation trend and calculate the ratio with the total number of periodic real-time parameter sub-line graphs to obtain the fluctuation trend ratio;

[0050] Then calculate the ratio of the total symptom difference ratio and the fluctuation trend ratio to obtain the risk value of a single influencing parameter;

[0051] It should be noted that the larger the value of the risk value, the more asynchronous the change of the single influencing parameter of the target personnel is with the change of the single influencing parameter before the cardiovascular disease outbreak of past patients, that is, it is determined that the cardiovascular disease risk of the target personnel is lower, and the value range of the risk value is between 0 and 1;

[0052] Evaluate the cardiovascular risk based on the risk value of the single influencing parameter and establish a single-parameter risk assessment model;

[0053] The technical solution of the embodiment of the present invention is mainly as follows: First, historical data of cardiovascular patients are collected, including key parameters such as work pressure, intensity, duration, working height, and electromagnetic radiation exposure level. These data are used as the basis for constructing a single-parameter risk assessment model. By comparing the parameter changes before and after the sudden onset of cardiovascular disease in patients, the parameter symptom range, that is, the threshold between normal and abnormal, is determined. For the current target person, the single influencing parameter is monitored in real time and compared with the previously determined parameter symptom range. By calculating the degree to which the parameter value of the target person exceeds the symptom range (symptom difference value) and its relative size to the entire symptom range (symptom difference ratio), the cardiovascular health risk of the target person can be initially evaluated. In addition, the trend of parameter changes is also considered. By plotting the periodic parameter symptom broken line and the periodic real-time parameter broken line and comparing the fluctuation trends between the two, if the parameter change trend of the target person is similar to that of past patients, it may mean a higher risk; otherwise, the risk is lower. Finally, combining the symptom difference ratio and the fluctuation trend ratio, the risk value of the single influencing parameter is calculated, and this value reflects the level of cardiovascular health risk of the target person; the present invention provides strong support for the health management of cardiovascular patients and helps to timely detect potential cardiovascular health risks.

[0054] Embodiment 2

[0055] In the field of risk assessment, a single risk assessment model often can only cover information in a certain aspect, resulting in the assessment result may be too one-sided. In order to more comprehensively assess risks, reduce the calculation amount, and improve the assessment speed, on the basis of Embodiment 1, please refer to Figure 2 、 Figure 3 as shown, a cardiovascular risk assessment and management system described in the embodiment of the present invention further includes:

[0056] Combined assessment module: used to provide a combined risk assessment model, which includes at least two single-parameter risk assessment models, and each single-parameter risk assessment model is provided with a corresponding weight value;

[0057] It should be explained that the risk probability density function is a mathematical function that describes the probability distribution of the risk value of a single influencing parameter in a single-parameter risk assessment model. In the combined assessment module, each single-parameter risk assessment model will have a corresponding risk probability density function;

[0058] In some implementation schemes, the process of obtaining the weight value is:

[0059] The risk values of different single influencing parameters are respectively input into the corresponding single-parameter risk assessment models to obtain the risk probability density functions of each single-parameter risk assessment model , where Denoted as the risk probability density function of the i-th single-parameter risk assessment model, where i takes values of 1, 2, …… n, and n is the total number of single-parameter risk assessment models;

[0060] Through the formula: , calculate and obtain the overlapping area of every two risk probability density functions, where, Denoted as the risk probability density function of the j-th single-parameter risk assessment model, where j takes values of 1, 2, …… n, Denoted as the overlapping area between the i-th risk probability density function and the j-th risk probability density function;

[0061] It should be explained that the overlapping area represents the overlapping degree of two risk probability density functions in the risk value probability distribution;

[0062] Construct an overlapping area matrix based on all overlapping areas ;

[0063] Through the formula: , perform eigen-decomposition on the overlapping area matrix to obtain the weight value of each risk probability density function , where, Denoted as the eigenvector of the i-th group of model factor values, Denoted as the weight value of the n-th risk probability density function;

[0064] The technical solution of the embodiment of the present invention is mainly: input the risk values of different single influencing parameters into the corresponding single-parameter risk assessment models to obtain the risk probability density functions of each model. Subsequently, calculate the overlapping area of every two risk probability density functions. This index reflects the overlapping degree of the two functions in the risk value probability distribution. Based on all overlapping areas, construct an overlapping area matrix. By performing eigen-decomposition on the overlapping area matrix, obtain the weight value of each risk probability density function. The weight value reflects the importance of each single-parameter risk assessment model in the combined risk assessment model. The present invention realizes a more comprehensive assessment of cardiovascular risk by introducing a combined assessment module, not only improving the accuracy of the assessment, but also reducing the calculation amount and improving the assessment speed by optimizing the calculation process, which provides strong support for the health management and risk prevention of target personnel.

[0065] Embodiment Three

[0066] Referring to Figure 3 , the embodiment of the present invention also provides a computer device 3, including: a memory 302, a processor 301, and a computer program 303 stored on the memory 302. When the computer program 303 is executed on the processor 301, it implements a cardiovascular risk assessment and management system as described in any one of the above methods.

[0067] The computer device 3 may be a computing device such as a desktop computer, a notebook, a palm computer, and a cloud server. The computer device 3 may include, but is not limited to, a processor 301 and a memory 302. Those skilled in the art can understand that

[0068] Figure 3 merely examples of the computer device 3, which do not constitute a limitation on the computer device 3, may include more or fewer components than shown in the figure, or combine some components, or different components. For example, it may also include input / output devices, network access devices, etc.

[0069] The so-called processor 301 may be a central processing unit (CPU), and the processor 301 may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc.

[0070] The memory 302 may be an internal storage unit of the computer device 3 in some embodiments, such as the hard disk or memory of the computer device 3. The memory 302 may also be an external storage device of the computer device 3 in some other embodiments, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the computer device 3. Further, the memory 302 may also include both the internal storage unit and the external storage device of the computer device 3. The memory 302 is used to store an operating system, application programs, a boot loader, data, and other programs, such as the program code of the computer program. The memory 302 may also be used to temporarily store data that has been output or will be output.

[0071] Embodiment 4

[0072] The embodiment of the present invention also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is run by a processor, it implements a cardiovascular risk assessment and management system as described in any one of the above methods.

[0073] In this embodiment, if the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on such an understanding, to implement all or part of the processes in the method of the above embodiment in this application, a computer program can be used to instruct relevant hardware to complete. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by a processor, the steps of the above-mentioned method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file or some intermediate form, etc. The computer-readable medium can at least include: any entity or device that can carry the computer program code to the photographing device / terminal device, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electrical carrier signal, telecommunication signal, and software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk, or an optical disc, etc. In some jurisdictions, according to legislation and patent practice, the computer-readable medium cannot be an electrical carrier signal and a telecommunication signal.

[0074] In the above embodiments, the descriptions of the various embodiments have their own emphases. For the parts not detailed or recorded in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0075] Those of ordinary skill in the art can realize that the units and algorithm steps of the examples described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or by a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of this application.

[0076] In the embodiments disclosed in this application, it should be understood that the disclosed device / terminal device and method can be implemented in other ways. For example, the device / terminal device embodiments described above are merely illustrative. For example, the division of the modules or units is only a logical function division. In actual implementation, there can be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another

[0077] point is that the displayed or discussed coupling or direct coupling or communication connection to each other can be through some interfaces. The indirect coupling or communication connection of the device or unit can be in an electrical, mechanical or other form.

[0078] The unit described as a separation component may or may not be physically separated. The component displayed as a unit may or may not be a physical unit, that is, it may be located in one place or may be distributed across multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0079] The above formulas are all calculated by taking the numerical values without dimensions. The formulas are obtained by collecting a large amount of data for software simulation to get a formula closest to the actual situation. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0080] The above has described in detail one embodiment of the present invention, but the content described is only the preferred embodiment of the present invention and cannot be considered as limiting the scope of implementation of the present invention. All equivalent changes and improvements made according to the scope of the application of the present invention should still fall within the scope covered by the patent of the present invention.

Claims

1. A cardiovascular risk assessment and management system, characterized in that: include: Single parameter assessment module: Based on the cardiovascular patient database, extract the single influencing parameters of past patients, obtain the risk value of the single influencing parameter, and build a single parameter risk assessment model; The process of obtaining the risk value of a single influencing parameter is as follows: Obtain the real-time single influencing parameters of the target personnel during the target period and mark them as the target real-time parameter values; the single influencing parameters include: work pressure, work intensity, working hours, working altitude, and electromagnetic radiation exposure level; Among them, the target period includes several analysis cycles; Based on the target real-time parameter value and the parameter symptom range, the real-time change of the target real-time parameter value is analyzed to obtain the total symptom difference ratio; The process of obtaining the total ratio of symptom differences is as follows: Based on any analysis period, a target real-time parameter curve is drawn in a two-dimensional coordinate system with time as the X-axis and the target real-time parameter value as the Y-axis. At the same time, a parameter sign range of a comparison period corresponding to the analysis period is drawn in the two-dimensional coordinate system; Extract the part of the target real-time parameter curve that is not in the parameter symptom range, mark it as the exceeded curve segment, and obtain the area enclosed by all the exceeded curve segments and the parameter symptom range boundary within the analysis period to obtain the symptom difference value, and then calculate the ratio of the symptom difference value to the parameter symptom range area to obtain the symptom difference ratio; Then the symptom difference ratios of all analysis periods are summed up to obtain the total symptom difference ratio; At the same time, the average value of the parameter symptom range in each comparison period is extracted to obtain the parameter symptom mean value. Based on the parameter symptom mean value and the parameter symptom range, the change trend and fluctuation trend ratio of the parameter symptom mean value are analyzed; Then the total ratio of symptom differences and the fluctuation trend ratio are calculated to obtain the risk value of a single influencing parameter; Combined assessment module: used to provide a combined risk assessment model, which includes at least two single parameter risk assessment models, and each single parameter risk assessment model is provided with a corresponding weight value; The process of constructing a single parameter risk assessment model is: Based on the cardiovascular patient database, extract the single influencing parameters in the comparison period before the sudden cardiovascular disease of the past patients, and evenly divide the comparison period into several comparison cycles, and obtain the single parameter values ​​of the past patients in each comparison cycle; Based on the single parameter values ​​of all previous patients in each contrast period, the parameter sign range of each contrast period is obtained; Monitor the single influencing parameters of the target personnel, and perform parameter trend analysis based on the parameter symptom range of past patients to obtain the risk value of the single influencing parameter; Based on the risk value of a single influencing parameter, cardiovascular risk is assessed and a single parameter risk assessment model is established; The process of obtaining the parameter symptom range is as follows: Based on any comparison period, the single parameter values ​​of all past patients are sorted, and based on the sorting of the single parameter values, the first quartile Q1 and the third quartile Q3 are obtained, thereby obtaining the parameter sign range [Q1, Q3].

2. A cardiovascular risk assessment and management system according to claim 1, characterized in that: The process of obtaining the volatility trend ratio is: Get the changing trends of the period parameter sign sub-line and the period real-time parameter sub-line respectively; Compare and analyze the changing trends of the period parameter sign sub-line and the corresponding period real-time parameter sub-line; If the changing trends of the periodic parameter symptom sub-line and the periodic real-time parameter sub-line are the same, the periodic real-time parameter sub-line is marked as the same fluctuation trend segment; If the changing trends of the periodic parameter symptom sub-line and the periodic real-time parameter sub-line are different, the periodic real-time parameter sub-line is marked as different segments of fluctuation trend; The total number of segments with the same fluctuation trend is extracted, and the ratio is calculated with the total number of sub-broken lines of the period real-time parameter to obtain the fluctuation trend ratio.

3. A cardiovascular risk assessment and management system according to claim 2, characterized in that: The process of obtaining the changing trend of the period parameter sign sub-broken line is as follows: The average value of the parameter symptom range in each comparison period is extracted to obtain the parameter symptom mean value, and a two-dimensional coordinate system is established with the comparison period as the X-axis and the parameter symptom mean value as the Y-axis to draw the period parameter symptom polyline; Based on the cycle parameter sign broken line, obtain the change trend of the cycle parameter sign sub-broken lines between adjacent comparison periods; Among them, the changing trends include: rising, falling and stable.

4. A cardiovascular risk assessment and management system according to claim 2, characterized in that: The process of obtaining the changing trend of the periodic real-time parameter sub-line is as follows: Extract the target real-time parameter mean of the target personnel in each analysis period, establish a two-dimensional coordinate system with the analysis period as the X-axis and the target real-time parameter mean as the Y-axis, and draw the period real-time parameter polyline; Based on the periodic real-time parameter line, obtain the change trend of the periodic real-time parameter sub-line between adjacent analysis periods; Among them, the changing trends include: rising, falling and stable.

5. A cardiovascular risk assessment and management system according to claim 1, characterized in that: The process of obtaining the weight value is: The risk values ​​of different single working parameters are input into the corresponding single parameter risk assessment model to obtain the risk probability density function of each single parameter risk assessment model. ,in, It is expressed as the risk probability density function of the i-th single parameter risk assessment model, i takes the value of 1, 2, ... n, and n is the total number of single parameter risk assessment models; Get the overlapping area of ​​every two risk probability density functions and construct an overlapping area matrix based on all overlapping areas ; The overlapping area matrix is ​​subjected to eigendecomposition to obtain the weight value of each risk probability density function.

6. A cardiovascular risk assessment and management system according to claim 5, characterized in that: The process of obtaining the overlapping area of ​​every two risk probability density functions is: By formula: , calculate the overlapping area of ​​every two risk probability density functions, where, It is expressed as the risk probability density function of the j-th single parameter risk assessment model, where j takes values ​​of 1, 2, ... n. It is expressed as the overlapping area between the i-th risk probability density function and the j-th risk probability density function.

7. A cardiovascular risk assessment and management system according to claim 5, characterized in that: The process of eigendecomposing the overlapping area matrix to obtain the weight value of each risk probability density function is: By formula: , perform eigendecomposition on the overlapping area matrix to obtain the weight value of each risk probability density function ,in, is represented as the eigenvector of the model factor values ​​of the i-th group, Expressed as the weight value of the nth risk probability density function.

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