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 ...

A single blood test can predict heart diseases up to 15 years before onset

A research team from the Department of Pharmacology and Pharmacy at the LKS Faculty of Medicine of the University of Hong Kong (HKUMed) has developed an innovative AI-based cardiovascular risk ...
IEEE

Heart Disease Prediction Using a Hybrid Feature Selection and Ensemble Learning Approach

Abstract: Heart diseases have become the leading cause of death globally, highlighting the urgent need for robust diagnostic and treatment methods. This study leverages the UCI heart disease dataset ...
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 ...