Medical health data collection based intelligent health forecasting and decision-making system

Abstract

The present invention relates to a medical health data collection based intelligent health forecasting and decision-making system. The system is characterized by comprising the following steps: 1) data collection; 2) transmission of data to a cloud server, wherein a cloud ICVD paroxysm evaluation module processes the data; 3) doctor platform information processing; and 4) patient platform information processing. The cloud part of the scheme comprises a 10-year ischemic cardiovascular disease (abbreviated as ICVD) probability forecasting and doctor decision-making system. According to the scheme of the present invention, a cloud technology platform can assist doctors to collect health data of a patient, establish health records, and forecast a 10-year ICVD probability, so that a personalized health program is created for the patient, and the treatment decision-making system is established.

Description

technical field [0001] The invention relates to a prediction system, in particular to a smart health prediction and decision-making system based on medical health data collection, which belongs to the technical field of medical detection. Background technique [0002] In the 21st century, cardiovascular diseases in my country pose a great threat to the health of our people. At present, the death rate of cardiovascular diseases accounts for the first place in the total death causes of urban and rural residents, accounting for 44.8% in rural areas and 41.9% in urban areas. The disease burden of cardiovascular disease is increasing day by day and has become a major public health problem. It is urgent to strengthen the prevention and treatment of cardiovascular diseases under the leadership of the government. [0003] 1. Prevalence of cardiovascular disease. The prevalence of cardiovascular disease in China is on the rise. At present, it is estimated that there are 290 million...

AI Technical Summary

Problems solved by technology

[0006] At present, the actual medical technology is far from reaching the level of intelligence. It is limited to the collection of health data of medical institutions and families. It lacks the overall grasp of the patient's condition by doctors and the estimation of the risk of major diseases. The serious thing is that my country's medical and health data are far from being connected to each other. The data of medical institutions are often scattered, and the lack of predictive ability for major diseases also makes doctors' decision-making ability often limited to grasping the overall personal health status.

[0007] On the other hand, my country's prediction models for major diseases such as ICVD (ischemic cardiovascular disease) have not yet reached the level of application in smart medical technology

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