Cardiovascular disease risk monitoring system based on big data accurate medical treatment

Abstract

The invention discloses a cardiovascular disease risk monitoring system based on big data accurate medical treatment, wherein the system relates to the field of disease risk monitoring technology. Thesystem settles problems of relatively low accuracy in diagnosis analysis and treatment facility selection of the cardiovascular disease and relatively low monitoring degree to the cardiovascular disease risk. The system is technologically characterized in that the system comprises a user terminal, a monitoring management center, a disease information database, a disease development database, a characteristic information extracting module, a disease matching module and a report generating module; the user terminal is connected with the monitoring management center; the monitoring management center is connected with the characteristic information extracting module; the characteristic information extracting module is connected with the disease matching module; the disease matching module isconnected with the disease information database and the report generating module; and the report generating module is connected with the disease development database and the user terminal. The cardiovascular disease risk monitoring system has advantages of improving accuracy in diagnosis analysis and treatment facility selection of the cardiovascular disease, and improving monitoring degree to thecardiovascular disease risk.

Description

technical field [0001] The present invention relates to the technical field of disease risk monitoring, and more specifically, it relates to a cardiovascular disease risk monitoring system based on big data precision medicine. Background technique [0002] Cardiovascular disease generally refers to ischemic or hemorrhagic diseases of the heart caused by hyperlipidemia, blood viscosity, atherosclerosis, and hypertension. Cardiovascular disease is a common disease that seriously threatens the health of human beings, especially middle-aged and elderly people over 50 years old. It has the characteristics of high prevalence, high disability rate and high mortality rate. However, there are still more than 50% of cerebrovascular accident survivors who cannot take care of themselves completely. The number of people who die of cardiovascular and cerebrovascular diseases in the world is as high as 15 million people every year, ranking first among various causes of death. [0003] The...

AI Technical Summary

Problems solved by technology

[0003] The existing medical institutions are distributed all over the country, and the efficiency of resource sharing among various medical institutions is low. The historical cases that doctors can refer to are limited, and the accuracy of diagnosis and treatment methods for cardiovascular diseases is poor. In addition, patients It is necessary to do a comprehensive examination in a medical institution before obtaining the corresponding examination results from the doctor, resulting in high costs for patients to obtain their own health information and complicated operations, which makes the general public less effective in monitoring their own cardiovascular disease risks

Images