CAD prediction model establishing method and device and electronic equipment

A technique for predicting models and establishing methods, which is applied in the fields of instruments, health index calculations, biological systems, etc., can solve problems such as low data accuracy, and achieve the goals of low data accuracy, comprehensive prediction results, and the accuracy of prediction results Effect

CN111354464APending Publication Date: 2020-06-30SHENZHEN INST OF ADVANCED TECH
4 Cites 5 Cited by

Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
Publication Date
2020-06-30

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention provides a CAD prediction model building method and device and electronic equipment, and relates to the technical field of modeling, and the method comprises the steps: obtaining genotype data and physical condition data of a sample object; calculating by utilizing the genotype data to obtain a CAD multi-gene risk value; and establishing a CAD prediction model based on the CAD multi-gene risk value and the physical condition data. The technical problem of relatively low accuracy of data obtained by performing CAD prediction at present in the prior art is solved.
Need to check novelty before this filing date? Find Prior Art

Description

Technical field

[0001] The present invention relates to the field of modeling technology, in particular to a method, device and electronic equipment for establishing a CAD prediction model. Background technique

[0002] Coronary Artery Disease (CAD), also known as coronary heart disease, is a cardiovascular disease with extremely high morbidity and mortality worldwide.

[0003] Blood enters the heart through the two main coronary arteries, and through a network of blood vessels on the surface of the heart muscle, so that the heart gets nutrients. If cholesterol and fat deposits form in the arteries, narrowing the channels, this condition is called atherosclerosis. The blood flowing in the arteries forms a blood clot, blocking the arteries. When physically or psychologically under pressure, the heart beats faster and requires more oxygen and nutrients. This is a condition that cannot be dealt with when the coronary arteries are severely narrowed or blocked. As a result, insuffici...

Examples

Embodiment 1

[0048] An embodiment of the present invention provides a CAD prediction model establishment method for coronary heart disease, such as figure 1 Shown, including:

[0049] S11: Obtain genotype data and physical condition data of the sample object.

[0050] As a preferred solution, the physical condition data of the sample object may include: age, gender, body mass index, blood pressure, whether to smoke, whether to have diabetes, high-density lipoprotein, total cholesterol, and the like.

[0051] S12: Use genotype data for calculation to obtain CAD polygenic risk value.

[0052] Use genotype data to calculate the polygenic risk score (ie, CAD polygenic risk value). Among them, the polygenic risk score (Polygenic Risk Score) is a measure of the risk of a certain disease calculated by using personal genetic sequencing data Scoring, currently available calculation methods are: LDpred, P+T, etc.

[0053] S13: Establish a CAD prediction model based on CAD polygenic risk values ​​and physical...

Embodiment 2

[0060] An embodiment of the present invention provides a method for establishing a CAD prediction model, such as figure 2 Shown, including:

[0061] S21: Obtain genotype data and physical condition data of the sample object.

[0062] Further, the physical condition data of the sample object is a risk variable related to CAD, for example, age, gender, body mass index, blood pressure, smoking, diabetes, high-density lipoprotein, total cholesterol, and so on.

[0063] S22: Use the CAD gene association data in the genotype data to calculate to obtain the weight of CAD gene variation.

[0064] When calculating the polygenic risk score using the CAD gene association data in the genotype data, in addition to the LDpred method, some other calculation methods, such as P+T, can also be used. In this embodiment, the LDpred method is used to calculate the polygenic risk score as an example.

[0065] In this step, the weight of each gene variant is calculated using the summary statistics of the wh...

Embodiment 3

[0085] A CAD prediction model establishment device provided by an embodiment of the present invention, such as Figure 5 As shown, the CAD prediction model establishment device 3 includes: an acquisition unit 31, a calculation unit 32, and a establishment unit 33.

[0086] Among them, the obtaining unit is used to obtain genotype data and physical condition data of the sample object. The calculation unit is used for calculation using genotype data to obtain the CAD polygenic risk value. The establishment unit is used to establish a CAD prediction model based on the CAD polygenic risk value and physical condition data.

[0087] Further, the calculation unit includes: a calculation module and a weighting module. Among them, the calculation module is used to calculate the CAD gene associated data in the genotype data to obtain the weight of CAD gene variation. The weighting module is used to weight the weight to obtain the CAD polygenic risk value.

[0088] In addition, the establish...