Eye fundus image-based cardiovascular and cerebrovascular disease occurrence type and risk prediction method and system, computer equipment and storage medium

Abstract

The invention discloses an eye fundus image-based cardiovascular and cerebrovascular disease occurrence type and risk prediction method and system, computer equipment and a storage medium. The method comprises the following steps: S1, acquiring a sample data set of cardiovascular and cerebrovascular diseases, wherein the sample data set comprises fundus images of previous patients and occurrence conditions of cardiovascular and cerebrovascular diseases of three-year and five-year follow-up visit; s2, taking the fundus images in the sample data set as input data, taking occurrence conditions of cardiovascular and cerebrovascular diseases of follow-up visit of three years and five years as data labels, inputting the data labels into a deep learning model Inception-ResNet-V2 for feature extraction, training and verification, and constructing a cardiovascular and cerebrovascular occurrence type and risk prediction model based on the fundus images; s3, the eye fundus image of the patient to be detected is input into the constructed prediction model, a prediction result is output, and the prediction result is disease category classification and occurrence risk level classification of cardiovascular and cerebrovascular diseases of the patient in the next three years and five years. The heart and cerebral vessel occurrence type and risk are predicted based on the eye fundus image, and the method is simple, convenient, high in prediction accuracy and good in effect.

Description

technical field [0001] The invention relates to the field of artificial intelligence, and more particularly, to a method, system, computer equipment and storage medium for predicting the occurrence and risk of cardiovascular and cerebrovascular diseases based on fundus images. Background technique [0002] Cardiovascular and cerebrovascular diseases are a general term for cardiovascular and cerebrovascular diseases, which generally refer to ischemic or hemorrhagic diseases of the heart, brain and whole body caused by hyperlipidemia, blood viscosity, atherosclerosis, hypertension, etc. disease. Cardiovascular and cerebrovascular disease is a common disease that seriously threatens the health of human beings, especially the middle-aged and elderly people over 50 years old. It has the characteristics of high morbidity, high disability rate and high mortality rate. There are still more than 50% of cerebrovascular accident survivors who cannot take care of themselves completely....

AI Technical Summary

Problems solved by technology

[0006] The present invention aims to overcome at least one defect (deficiency) of the above-mentioned prior art, and provides a method, system, computer equipment and storage medium for predicting the type and risk of cardiovascular and cerebrovascular diseases based on fundus images, for realizing Predict the types and risks of cardiovascular and cerebrovascular diseases, solve the problems of difficulty in identifying graphic features of ordinary deep learning network models, poor information extraction capabilities, and universality are greatly affected by population differences, and achieve high prediction accuracy

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