Healio

Electronic health record-based machine learning models improve OSA prediction

Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...
AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
Yahoo

AI use in Florida jury selection sparks debate over fairness

Add Yahoo as a preferred source to see more of our stories on Google. A jury of one's peers is a cornerstone of American jurisprudence. Now, there may be an invisible hand in that jury box as AI helps ...
IEEE

Unsupervised Feature Selection-Driven Active Learning for Semi-Supervised Automatic ECG Analysis

Abstract: Automatic analysis methods of electrocardiograms (ECGs) usually required large-scale annotated training data, but the annotation process is extremely time-consuming. While semi-supervised ...
IEEE

ECG, Respiration, fNIRS, and Eye Tracking for Stress and Mental Workload Monitoring in Human-Machine Interaction

Abstract: Advanced human-machine interaction (AHMI) is a key concept in human factors and ergonomics (HFE), focusing on how individuals interact with systems to perform tasks efficiently. As AHMI ...