Hypertension risk prediction method, device, and equipment and medium

Abstract

The invention relates to the field of medical science and technology, and provides a hypertension risk prediction method, device and equipment and a medium. The method comprises the following steps: obtaining the individual information and a fundus image of a to-be-detected target; respectively inputting the fundus image into a preset arteriovenous segmentation model, an optic disk segmentation model and a lesion recognition model, and respectively extracting arteriovenous blood vessels, optic disk regions and fundus lesion features in the fundus image; quantifying the diameters of arteriovenous blood vessels in the optic disc area to obtain blood vessel diameter quantized values corresponding to the arteriovenous blood vessels respectively; using a machine learning regression method to construct a risk prediction model for predicting the hypertension of the target to be detected based on the blood vessel diameter quantized value, the fundus lesion features and the individual information; and inputting the fundus image corresponding to the to-be-detected target into the risk prediction model for detection to obtain a hypertension prediction result of the to-be-detected target. The risk prediction model is trained by adopting a plurality of variable factors, so that the accuracy of hypertension risk prediction is greatly improved.

Description

technical field [0001] The invention relates to the field of medical science and technology, and provides a hypertension risk prediction method, device, equipment and medium. Background technique [0002] With the rapid development of my country's economy and the continuous improvement of living standards, great changes have taken place in diet structure and lifestyle. The prevalence of chronic diseases such as hypertension is increasing year by year, and it is showing a trend of younger age. Serious social burden and economic burden. Early identification of individual risk of hypertension and targeted disease prevention are particularly important in promoting individual health and reducing the burden of medical care. [0003] However, the existing methods for predicting the risk of hypertension based on fundus color photos simply segment and identify arteries and veins, and the research factors are single. There is no analysis of the individual's physique and lifestyle, re...

AI Technical Summary

Problems solved by technology

[0003] However, the existing methods for predicting the risk of hypertension based on fundus color photos simply segment and identify arteries and veins, and the research factors are single. There is no analysis of the individual's physique and lifestyle, resulting in low accuracy of hypertension risk prediction

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