Hospital AI tool predicts low blood sugar in patients up to 24 hours in advance

Cedars-Sinai Health Sciences University investigators developed an AI-based model that can identify hospitalized patients at ...

Prevalence of right ventricular dysfunction ~40% in heart failure with preserved ejection fraction

Right ventricular dysfunction (RVD) is prevalent in 41.7% of patients with heart failure with preserved ejection fraction ...
IEEE

Enhanced Bayesian Optimized Support Vector Machine (BO-SVM) Classification and Prediction of Heart Disease

Abstract: Medical data analysis is increasingly used to plan, improve research techniques, and explain diagnoses. The allocation of medical resources is based on the prevalence of specific pathologies ...
IEEE

Deep Belief Network for Predicting Heart Disease Using Wearable Sensor Data

Abstract: Heart disease remains among the most common causes of death, and it is even more crucial to devise the strategies to identify it at an early stage and monitor the health of individuals at ...
The New York Times

China Aims A.I. at Predicting Who Could Pose a Political Risk

New research examines how a Chinese company struggled to develop its predictive surveillance technology while U.S. restrictions were in place. The skyline of Beijing. A Chinese firm is working on ...