Asha Dilipkumar Jariwala

Enhancing Heart Disease Prediction Through The Hybrid Random Forest–Gradient Boosting-Logistic Regression Model (HRFGLM): A Data-Driven Predictive Framework

This study suggests a methodology for early cardiovascular disease prediction using various machine learning techniques for various prediction objectives, and implemented a few models, which include Gradient Boost, Random Forests, and Linear Regression classifiers getting 75.19% accuracy.