BUILDING A MODEL TO ANALYZE CARDIOVASCULAR DISEASE DATA USING R SOFTWARE

Abstract

Having a data analysis model has been a matter that many statisticians interest and specially desing to build an analytical model for a specific object. Therefore, through the use of R software (an open source software with many advanced features, updated daily, and commonly employed by many researchers in Vietnam as well as around the world), the author of this study wanted to build a data analysis model of cardiovascular disease basing on the cardiovascular disease data set used in teaching, learning and researching at the Institute for Advanced Study in Mathematics (VIASM). Approaching by statistical method, the author biult an Analytical Model consisting of 2 main steps: descriptive statistics and inferential statistics. After processing data with R software with clear and sharp models and especially using logistic regression, the author came to some conclusions for medical research such as: exercise angina wast the early symptoms of heart failure; The maximum heart rate achieved by the patients gradually decreased according to the degree of heart failure from I to IV; and 2 models using logistic regression correlation.