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Cardiovascular disease risk monitoring system based on big data

A disease risk and monitoring system technology, applied in the fields of medical data mining, patient-specific data, health index calculation, etc., can solve the problems of low resource sharing efficiency, complicated operation, and high cost of patient acquisition, to enhance the strength of risk management, The effect of enhancing monitoring and improving accuracy

Pending Publication Date: 2020-08-21
SICHUAN UNIV
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] 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

Method used

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  • Cardiovascular disease risk monitoring system based on big data

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Embodiment

[0033] A cardiovascular disease risk monitoring system based on big data, such as figure 1 As shown, including user terminal, big data center, feature information extraction module, disease matching module and report generation module:

[0034] User terminal: used to input the user's personal information and risk monitoring application order, and the user terminal is connected to the provided personal information; the personal information includes identity information, physical characteristics, medical test data and symptom information;

[0035] The user terminals include personal terminals and medical terminals;

[0036] The personal terminal is used to input disease consultation information; the personal terminal is provided with an eating habit input module and a living environment input module; the report generation module inputs eating habit information and living environment information according to the eating habit input module and the living environment input module S...

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Abstract

The invention discloses a cardiovascular disease risk monitoring system based on big data, belonging to the field of disease risk health. The cardiovascular disease risk monitoring system comprises auser terminal, a big data center, a feature information extraction module, a disease matching module and a report generation module. The user terminal inputs identity information, physical characteristics, medical detection data and symptom information into the system, and the information is stored in the big data center for supervision; a disease information database of the big data center storespersonal disease and development data; the feature information extraction module calls out the features of cardiovascular diseases from the big data center and matches the features with the cardiovascular diseases through the disease matching module; and according to comparison of the extracted information features, cardiovascular disease risks are analyzed and evaluated, and a disease statistical report is formed. According to the invention, the monitoring of the masses on cardiovascular disease risks is enhanced; and disease trend analysis is performed on patients by referring to historicalcases, so accurate medical plans and disease prevention measures can be provided for the patients.

Description

technical field [0001] The invention relates to the field of disease risk health, in particular to a big data-based cardiovascular disease risk monitoring system. 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] In 2003, the National Tenth Five-Year Plan Research Group tackled c...

Claims

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Application Information

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IPC IPC(8): G16H50/30G16H50/70G16H10/60G16H15/00
CPCG16H50/30G16H50/70G16H10/60G16H15/00
Inventor 李侨
Owner SICHUAN UNIV
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