A cardiovascular risk assessment management system

Abstract

The present invention relates to the technical field of risk assessment, and specifically discloses a cardiovascular risk assessment management system, comprising: a single parameter assessment module: extracting a single influencing parameter of past patients, obtaining a risk value of the single influencing parameter, 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 the present invention achieves a more comprehensive assessment of cardiovascular risks by introducing a combined assessment module, which not only improves the accuracy of the assessment, but also reduces the amount of calculation and improves the assessment speed by optimizing the calculation process, which provides strong support for the health management and risk prevention of target industry personnel.

Description

Technical Field

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

[0002] Traditional cardiovascular risk assessment methods, such as static questionnaires and regular physical examinations, can reflect an individual's cardiovascular health status to a certain extent, but they are powerless when dealing with scenarios with multiple influencing factors. For example, work pressure, intensity, duration, working altitude and electromagnetic radiation exposure exert additional pressure on the cardiovascular system of target workers, and these factors are often ignored in traditional risk assessment methods. Traditional methods are difficult to capture and accurately assess in real time. Furthermore, individual differences have a significant impact on high cardiovascular risk, but traditional risk assessment methods often adopt a "one-size-fits-all" assessment standard and ignore these key factors.

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

[0004] The object of the present invention is to provide a cardiovascular risk assessment and management system to solve at least one of the above-mentioned problems in the prior art.

[0005] The present invention provides a cardiovascular risk assessment and management system, comprising: 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 impact parameter of the target person in the target period and mark it as the target real-time parameter value; 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; 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.

[0006] Beneficial effects of the present invention: The present invention provides strong support for the health management of target cardiovascular health management personnel, and helps to timely discover potential cardiovascular health risks. The present invention achieves a more comprehensive assessment of cardiovascular risks by introducing a combined assessment module, which not only improves the accuracy of the assessment, but also reduces the amount of calculation and improves the assessment speed by optimizing the calculation process, which provides strong support for the health management and risk prevention of target personnel. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0008] Figure 1 is a flow chart of a cardiovascular risk assessment and management system provided by Embodiment 1 of the present invention; Figure 2 It is a structural schematic diagram of a cardiovascular risk assessment and management system provided by the present invention; Figure 3 It is a structural diagram of a computer device provided in Embodiment 4 of the present invention. DETAILED DESCRIPTION

[0009] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in 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 should fall within the scope of protection of the present invention.

[0010] Embodiment 1 Figure 1This is a flow chart of a cardiovascular risk assessment and management system provided in Embodiment 1 of the present invention. The embodiment of the present invention can be applied 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, which can be a notebook, a desktop computer, a smart tablet, etc., and the embodiment of the present invention does not limit this.

[0011] like Figure 1 As shown, a cardiovascular risk assessment and management system provided by an embodiment of the present invention specifically includes: 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; Among them, the single influencing parameter can be: work pressure, work intensity, working hours, working altitude, and electromagnetic radiation exposure; Past patients refer to cardiovascular patients in the cardiovascular patient database; In some embodiments, based on the cardiovascular patient database, a single influencing parameter in a comparison period before a sudden cardiovascular disease attack is extracted from past patients, and the comparison period is evenly divided into several comparison cycles, and the single parameter value of the past patients in each comparison cycle is obtained respectively; It should be explained that the comparison period can be: 10 minutes, 30 minutes; Based on any comparison period, the single parameter values ​​of all past patients are sorted (sorted according to the numerical value of the single parameter value, where the sorting is in ascending order), 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]; It should be explained that the first quartile is to divide the ranking of a single parameter value into four equal parts. The first quartile is the data in the first quarter position (if there is no data in the first quarter position, the value is taken downward to the nearest data point position). Similarly, the third quartile is the data in the third quarter position (if there is no data in the third quarter position, the value is taken upward to the nearest data point position); It should be explained that the parameter sign range represents the prevalence of a single parameter value in the entire cardiovascular patient population in each comparison period before the onset of vascular disease; 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; Among them, the target population is those who need cardiovascular disease risk assessment; Specifically, the process of obtaining the risk value of a single influencing parameter is: Obtain the real-time single impact parameter of the target person in the target period and mark it as the target real-time parameter value; Among them, the target period includes several analysis cycles; It should be explained that the target period and the comparison period are equal in length, and the number and length of the analysis cycles are equal to the number and length of the comparison cycles; It needs further explanation that the target period is updated in real time over time; 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; It should be explained that, during the analysis period, if the target real-time parameter curves are all within the parameter symptom range, the value of the symptom difference value is zero; 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, and a two-dimensional coordinate system is established with the comparison period as the X-axis and the parameter symptom mean as the Y-axis to draw the period parameter symptom polyline; Extract the target real-time parameter mean of the target personnel in each analysis period (the target real-time parameter mean is the average value of the target real-time parameter value of the target personnel in the 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 cycle parameter sign broken line, obtain the change trend (increase, decrease and stability) of the cycle parameter sign sub-broken line between adjacent comparison periods (the cycle parameter sign sub-broken line is the part of the cycle parameter sign broken line between two adjacent comparison periods); based on the cycle real-time parameter broken line, obtain the change trend (increase, decrease and stability) of the cycle real-time parameter sub-broken line between adjacent analysis periods (the cycle real-time parameter sub-broken line is the part of the cycle real-time parameter broken line between two adjacent analysis periods); 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; Extract the total number of segments with the same fluctuation trend, and calculate the ratio with the total number of sub-broken lines of the period real-time parameter to obtain the fluctuation trend ratio; Then the total ratio of symptom differences and the fluctuation trend ratio are calculated to obtain the risk value of a single influencing parameter; It should be explained that the larger the value of the risk value, the more out of sync the change of the single influencing parameter of the target person is with the change of the single influencing parameter of the previous patient before the sudden cardiovascular disease, that is, the lower the cardiovascular disease risk of the target person is, and the value range of the risk value is between 0-1; Based on the risk value of a single influencing parameter, cardiovascular risk is assessed and a single parameter risk assessment model is established; 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. 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, its single influencing parameter is monitored in real time and compared with the previously determined parameter symptom range. By calculating the degree to which the target person's parameter value exceeds the symptom range (symptom difference value) and its relative size to the entire symptom range (symptom difference ratio), its cardiovascular health risk can be preliminarily assessed. In addition, the trend of parameter changes is also considered. By drawing a periodic parameter symptom line and a periodic real-time parameter line, the fluctuation trend between the two is compared. If the parameter change trend of the target person is similar to that of previous patients, it may mean a higher risk; otherwise, the risk is lower. Finally, the risk value of the single influencing parameter is calculated in combination with the symptom difference ratio and the fluctuation trend ratio. 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 discover potential cardiovascular health risks.

[0012] Embodiment 2 In the field of risk assessment, a single risk assessment model can often only cover one aspect of information, resulting in an overly one-sided assessment result. In order to more comprehensively assess the risk, reduce the amount of calculation, and increase the assessment speed, based on Example 1, please refer to Figure 2 , Figure 3 As shown, a cardiovascular risk assessment and management system according to an embodiment of the present invention further includes: 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; 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. In some embodiments, the weight value is obtained by: The risk values ​​of different single influencing 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; 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 ith risk probability density function and the jth risk probability density function; It needs to be explained that the overlapping area represents the degree of overlap of two risk probability density functions in the probability distribution of risk value; Construct an overlapping area matrix based on all overlapping areas ; 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; The technical solution of the embodiment of the present invention is mainly as follows: the risk values ​​of different single influencing parameters are input into the corresponding single parameter risk assessment model to obtain the risk probability density function of each model, and then the overlapping area of ​​each two risk probability density functions is calculated. This indicator reflects the degree of overlap of the two functions in the probability distribution of risk values. Based on all overlapping areas, an overlapping area matrix is ​​constructed, and the weight value of each risk probability density function is obtained by characteristic decomposition of the overlapping area matrix. 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, which not only improves the accuracy of the assessment, but also reduces the amount of calculation and improves the assessment speed by optimizing the calculation process, which provides strong support for the health management and risk prevention of target personnel.

[0013] Embodiment 3 Reference Figure 3 The embodiment of the present invention further provides a computer device 3, comprising: a memory 302 and a processor 301 and a computer program 303 stored in the memory 302. When the computer program 303 is executed on the processor 301, a cardiovascular risk assessment and management system as described in any one of the above methods is implemented.

[0014] The computer device 3 may be a computing device such as a desktop computer, a notebook, a PDA, or 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 will appreciate that Figure 3 It is only an example of computer device 3 and does not constitute a limitation on computer device 3. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components, for example, it may also include input and output devices, network access devices, etc.

[0015] The processor 301 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0016] In some embodiments, the memory 302 may be an internal storage unit of the computer device 3, such as a hard disk or memory of the computer device 3. In other embodiments, the memory 302 may also be an external storage device of the computer device 3, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the computer device 3. Further, the memory 302 may also include both an internal storage unit of the computer device 3 and an external storage device. The memory 302 is used to store an operating system, an application program, a boot loader (BootLoader), data, and other programs, such as the program code of the computer program, etc. The memory 302 may also be used to temporarily store data that has been output or is to be output.

[0017] Embodiment 4 An embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, a cardiovascular risk assessment and management system as described in any one of the above methods is implemented.

[0018] 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 this understanding, the present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, the steps of the above-mentioned various method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium can at least include: any entity or device that can carry the computer program code to the camera / terminal device, recording medium, computer memory, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium. For example, USB flash drive, mobile hard disk, disk or optical disk. In some jurisdictions, according to legislation and patent practice, computer-readable media cannot be electric carrier signals and telecommunication signals.

[0019] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0020] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0021] In the embodiments disclosed in the present application, it should be understood that the disclosed apparatus / terminal equipment and method can be implemented in other ways. For example, the apparatus / terminal equipment embodiments described above are merely illustrative. For example, the division of the modules or units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. One point, the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, which may be electrical, mechanical or other forms.

[0022] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0023] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters in the formula are set by technicians in this field according to actual conditions.

[0024] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage 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 impact parameter of the target person in the target period and mark it as the target real-time parameter value; 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; 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.

2. A cardiovascular risk assessment and management system according to claim 1, characterized in that: 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.

3. A cardiovascular risk assessment and management system according to claim 2, characterized in that: 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].

4. A cardiovascular risk assessment and management system according to claim 1, characterized in that: 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.

5. A cardiovascular risk assessment and management system according to claim 4, 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.

6. A cardiovascular risk assessment and management system according to claim 5, 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.

7. A cardiovascular risk assessment and management system according to claim 5, 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.

8. 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.

9. A cardiovascular risk assessment and management system according to claim 8, 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.

10. A cardiovascular risk assessment and management system according to claim 8, 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.

Images