Cardiovascular disease big data analysis system and method

Abstract

The invention discloses a cardiovascular disease big data analysis system. The cardiovascular disease big data analysis system adopts a B / S architecture, and includes a web-based user interaction interface, a web application server, and a database server, wherein the web-based user interaction interface sends an operation request to the web application server, and receives operation request response data of the web application server to display the operation request response data; the web application server receives the operation request of the web-based user interaction interface, accesses the database server based on a Hibernate framework and receives an operation result returned by the database server; and the web application server further receives medical examination data uploaded bythe web-based user interaction interface and the user physical condition self-evaluation data corresponding to the current medical examination data, and performs big data analysis on the uploaded medical examination data and the user physical condition self-evaluation data to obtain a disease early warning conclusion. The invention also discloses a cardiovascular disease big data analysis method.

Description

technical field [0001] The invention belongs to the technical field of data analysis in statistics and javaweb development in software development, relates to medical examination information management and javaweb development, and specifically relates to a cardiovascular disease big data analysis system and method. Background technique [0002] China has a huge amount of basic medical data, and the clinical diagnosis and treatment level of cardiovascular doctors is also improving rapidly. However, in terms of the results of clinical research and the application of clinical data, there is still a gap with the world's advanced level. Therefore, it is very important to effectively mine and clinically apply these clinical big data for major diseases. With the improvement of people's daily life, the number of people suffering from cardiovascular disease in the country is close to 21%. Cardiovascular disease is a more serious threat to life and is the main cause of death among Chi...

AI Technical Summary

Problems solved by technology

When the system conducts early warning of disease status, it conducts early warning of disease status based on physical examination data, main chronic disease registration data, questionnaire data, and evaluation model algorithm library. The personal evaluation of one's own physical condition does not combine the data of each physical examination with the current user's personal physical condition evaluation to carry out disease condition assessment and early warning, and there are certain errors in the disease condition early warning results

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