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

A cardiovascular and cerebrovascular disease and risk early warning technology, applied in the field of cardiovascular and cerebrovascular disease risk early warning methods and systems, can solve the problem that the treatment effect has not been accurately and effectively evaluated, the clinical data cannot be collected and updated in real time, and the disease cannot be achieved. problem, to achieve the effect of accuracy

Inactive Publication Date: 2018-02-09
广州九九加健康管理有限公司
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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 ev

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

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[0025] Example 1

[0026] Such as figure 1 As shown, a risk warning method for cardiovascular and cerebrovascular diseases based on precise health management includes the following steps:

[0027] S1: Use a large amount of medical and health data to screen out risk factors for cardiovascular and cerebrovascular diseases, and generate a prescale for the assessment of risk factors for cardiovascular and cerebrovascular diseases; apply sample data from high-risk populations of cardiovascular and cerebrovascular diseases in medical institutions, and use advanced statistical analysis methods to predict Screening and analysis of risk factors on the scale, and generating a risk factor evaluation scale.

[0028] S2: According to the relevant risk factors in the risk factor assessment scale, use advanced big data information analysis and mining algorithms to build a risk warning model that automatically judges the situation of cardiovascular and cerebrovascular diseases;

[0029] S3: The mobi...

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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...

Claims

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Application Information

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IPC IPC(8): G16H50/30G16H50/20G16H15/00A61B5/0402A61B5/00
CPCA61B5/7271A61B5/7275A61B5/318
Inventor 陈玲陈巧林王芸芸陈荣庚
Owner 广州九九加健康管理有限公司
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