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 ...

AI system detects sudden cardiac death risk, identifying thousands more patients annually

Each year in the U.S., more than 300,000 people die from sudden cardiac arrest, a condition in which the heart's electrical ...
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 ...
Nature

Machine learning and SHAP interpretation for predicting coronary heart disease-diabetes comorbidity with dietary antioxidants

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...
Nature

Machine learning-driven image encryption using SVM for enhanced security and computational efficiency

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...