Deep learning model predicts which heart-failure patients will worsen within a year

Characterized by weakened or damaged heart musculature, heart failure results in the gradual buildup of fluid in a patient's lungs, legs, feet, and other parts of the body. The condition is chronic ...
IEEE

A Comparative Study using Random Forests and SVM Models for Machine Learning Techniques to Predict Heart Disease Accurately

Abstract: This paper analyzes the possible use of machine learning (ML) algorithms for early detection and prevention of cardiovascular disease (CVD) which is one of the leading global health concerns ...
GitHub

anuragchinkote/Heart-Disease-Detection

A machine learning-powered web application for predicting heart disease using clinical and demographic features. Built with Python, FastAPI, and Streamlit. CapstoneProject/ │ ├── frontend/ # Streamlit ...
ahajournals.org

Artificial Intelligence-Enabled ECG Analysis to Predict Incident Heart Failure

Cardiovascular Disease Initiative, Broad Institute of MIT and Harvard, Cambridge, MA (S. Khurshid, S. Kany, J.W.C., E.S.L., D.P., M.A.-A., J.T.R., S.A.L., P.T.E., J.E ...
MLive

How a Michigan health system is using AI to prevent heart attacks

A Michigan health system is turning to AI to help identify patients at risk of cardiovascular disease, without those patients needing to come in for additional testing. McLaren Health Care plans to ...
IEEE

Survey of Heart Disease Prediction Models using Machine Learning and Deep Learning Techniques

Abstract: heart disease remains the leading cause of mortality worldwide, accounting for millions of deaths annually. Despite medical advancements, the early detection and accurate prediction of ...