Morning Overview on MSN

Many AI disease-risk models trained on flawed health data

Somewhere on Kaggle, the open data platform where anyone can upload a spreadsheet and call it a dataset, two files labeled as ...

Korean women with CVD face gaps in risk factor control, study finds

Korean women with heart disease showed higher awareness and treatment of major risk factors, but lower control rates, ...
The American Journal of Managed Care

PREVENT Equations Show Strong CVD Risk Prediction in EHR Data Despite Missing Information

EHR validation in 406,230 “relaxed” and 127,151 “strict” patients showed stable PREVENT discrimination across sexes, ...

New AI tool can predict heart failure five years early with 86% accuracy

Experts at the University of Oxford have found a way to use artificial intelligence to predict the future as part of ...
IEEE

Prediction of Heart, Lung, and Brain Diseases Using Machine and Deep Learning

Abstract: This project focuses on predicting heart, lung, and brain diseases using advanced machine learning (ML) and deep learning (DL) techniques. The system analyzes complex patterns from diverse ...
IEEE

Web-Based Heart Disease Prediction by Comparison and Implementation of SVM, AdaBoost, and Hybrid SVM-AdaBoost Algorithms

Abstract: Heart disease is a global health problem and the main cause of death worldwide. In Indonesia, the prevalence of heart disease is still on the rise, accounting for 6.1% of the total ...
ahajournals.org

Predicting Recurrence and Outcomes After Stressor‐Associated Atrial Fibrillation Using ECG‐Based Deep Learning

Stressor‐associated atrial fibrillation (AF) refers to new‐onset AF that occurs with a reversible, acute stressor. Identifying individuals at highest risk for AF recurrence is essential to guide ...