Cardiovascular and cerebrovascular disease risk warning method and system based on accurate health management

Abstract

The invention discloses a cardiovascular and cerebrovascular disease risk warning method and system based on accurate health management. Based on big data acquisition of a cloud platform, high-risk cardiovascular and cerebrovascular disease population sample information is integrated to form a cardiovascular and cerebrovascular disease risk factor assessment scale, and a cardiovascular and cerebrovascular disease risk warning model is built. Risk factors to the high-risk cardiovascular and cerebrovascular disease population are warned and monitored in time based on monitoring data of a smart wearable electrocardiograph, in order to achieve timely and effective intervention for the high-risk population. Meanwhile, with the continuous accumulation of system data, the risk factor assessment scale and the warning model are automatically fitted, so as to realize accurate, timely and specific cardiovascular and cerebrovascular disease evaluation.

Description

technical field [0001] The present invention relates to the field of computer system development and data artificial intelligence, and more specifically, to a method and system for early warning of cardiovascular and cerebrovascular diseases based on precise health management. Background technique [0002] Cardiovascular and cerebrovascular diseases are the number one killer of human health, and my country has entered a period of high incidence of cardiovascular and cerebrovascular diseases. The current situation of cardiovascular and cerebrovascular diseases in my country mainly has the following characteristics: ①The discovery is basically at an advanced stage, and early detection and early treatment of the disease have not been achieved; ②Clinical data cannot be collected and updated in real time, and the treatment effect has not been accurately and effectively evaluated; ③Clinical data has not yet achieved in-depth mining analysis and application, clinical treatment has n...

AI Technical Summary

Problems solved by technology

The current situation of cardiovascular and cerebrovascular diseases in my country mainly has the following characteristics: ①The discovery is basically at an advanced stage, and early detection and early treatment of the disease have not been achieved; ②Clinical data cannot be collected and updated in real time, and the treatment effect has not been accurately and effectively evaluated; ③Clinical data has not yet achieved in-depth mining analysis and application, clinical treatment has not reached individual differences and specificity and the effect comparison of different treatment methods; ④Comprehensive analysis and timely early warning of abnormal conditions in patients with cardiovascular and cerebrovascular diseases are still in progress Lag phase

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