Cardiovascular Disease Data Ming And Application Of Mobile Health Management System

In recent decades, the coverage and mortality of hypertension still shows an obviously upward trend both domestic and overseas. As of 2013, China had nearly 270 million patients with hypertension. Fortunately, years of practice has shown that detection, treatment and control can be enhanced by prevention.As a serious cardiovascular disease, hypertension is not only risk factor of many serious chronic diseases, but also result of the combined effects of multiple factors. The study on hypertension incidences and complication is significant. There are abundant studies on hypertension incidences both domestic and overseas, while most of them are non-government-led and of limited range. What’s more, studies on hypertension complications are of less quantity and are based on statistical methods mostly.This paper attempts to study hypertension and its complications based on Shenzhen large medical data. The following work has been done. Give explore scheme and result of 14.5 million health records of residents. Establish hypertension database and improve access performance. Generate specialized datasets. Segament outpatient texts and preprocess data. Establish, evaluate and compare risk models of hypertension incidences and serious complicaitons. Realize K-M algorithm with PHP and draw survival curves. Discuss the spectrum of hypertension and its complications.This study focused on the establishment, evaluation and comparison of risk models. Based on R platform, it established models using logistic regression, Naive Bayes and random forest respectively, evaluated and compared models using 10-fold cross-validation by 30 times. It also analysed main factors, derived risk formula and do univariate distribution and analysis on datasets.