An Improved Coronary Heart Disease Predictive System Using Random Forest
Abdulraheem Abdul, Rafiu M. Isiaka, Ronke S. Babatunde & Jumoke F. Ajao · Asian Journal of Research in Computer Science · 2021
Aims: This work aim is to develop an enhanced predictive system for Coronary Heart Disease (CHD). Study Design: Synthetic Minority Oversampling Technique and Random Forest. Methodology: The Framingham heart disease dataset was used, which was collected from a study in Framingham,...
Open access
Research Article
10.9734/ajrcos/2021/v11i130253