Comprehensive Analysis of Heart Disease Prediction: Machine Learning Approach

Abstract

cardiovascular disease remains the major cause of fatality for both men and women worldwide. Heart disease is on the rise in both old and the young of males and females in today's society. As a result, developing and implementing comprehensive health-tracking rules should be spotlight in order to tackle the epidemic of heart-associated illnesses. As a result, early detection and treatment, using both traditional and novel techniques, must be prioritized. The primary goal of this study is to determine the best classifying approach for heart disease-related health data and the factors that impact it. This comprehensive work is based on the performance of systems that have been evaluated and described using various models presented in various research papers, and it provides a complete review of those research papers in order to set up the heart disease prognostication model and its performance.