FIU Researchers are training AI to detect heart conditions, like aortic stenosis and heart failure, by analyzing heart sound data to improve early diagnosis and risk prediction.

The objective of this project is to build a Machine Learning model to predict whether a patient has heart disease or not, based on clinical features. This is a binary classification task using the ...

This review provides a thorough and organized overview of machine learning (ML) applications in predicting heart disease, covering technological advancements, challenges, and future prospects. As ...

We have made a GUI (Graphic User Interface) Overview of the project- The user has to enter the medical parameters that are required for heart disease prediction, after that users have to choose the ...

Abstract The accurate and early detection of coronary heart disease (CHD) is crucial for reducing mortality rates. This study evaluates the predictive performance of three machine learning ...

A recent study titled "A Hybrid Feature Selection with Data-Driven Approach for Cardiovascular Disease Prediction Using Machine Learning," conducted by Thoutireddy Shilpa and Rajib Debnath from the ...

Introduction: Cardiovascular disease (CVD) is the leading cause of death in patients with chronic kidney disease (CKD). This study aimed to develop CVD risk prediction models using machine learning to ...

A machine learning-based heart disease prediction model (ML-HDPM) that uses various combinations of information and numerous recognized categorization methods.