Research on the Influencing factors of Heart Disease based on Binary Logistic Regression

Abstract

The main objective of this study was to analyze the multiple factors affecting heart disease using a binary logistic regression model. By examining the chart, this study draws many conclusions. Heart disease is at the forefront of mortality in China and even in the world. Thus, it is particularly important to explore its influencing factors. Through this study, chest pain type, resting electrocardiographic results, the slope of the peck exercise ST segment, and the maximum heart rate achieved were key factors affecting the occurrence of heart disease, and the prediction accuracy reached 86.05%, indicating that the conclusion is acceptable. The study provides more accurate strategies for the prediction of heart disease. This study fully explored the multiple influencing factors of heart disease; people should pay full attention to this indicator, maintain heart health, and be everyone’s responsibility. Protecting cardiovascular health is everyone’s responsibility. After all, health is the beginning of all work and good life.