Popular GitHub Repositories for Heart Disease Prediction

This project will focus on predicting heart disease using neural networks. Based on attributes such as blood pressure, cholestoral levels, heart rate, and other characteristic attributes, patients will be classified according to varying degrees of coronary artery disease

A machine learning web application use to predict chances of heart disease, built with FLASK and deployed on Heroku.

This project involves training of Machine Learning models to predict the Heart Failure for Heart Disease event. In this KNN gives a high Accuracy of 89%.

This is a repository for a research project completed during the 2023 Florida State University Young Scholars Program. It investigates the application of federated learning to protect individual privacy during development of a machine learning model to diagnose heart disease.

A Machine Learning model to predict Heart Disease Prediction.

Machine learning benchmark for heart disease classification in central and federated settings, with Shapley value interpretability analysis.

Explainable audio speech embeddings enhance emotion detection for low-resource setting