The American Journal of Managed Care

Machine Learning May Enable Earlier Detection of CKD Risk Factors

Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...
IEEE

Identification of Relevant ECG Features for Epileptic Seizure Prediction Using Interpretable Machine Learning

Abstract: Epileptic seizure prediction holds the potential to enhance the quality of life for individuals with epilepsy by enabling the possibility of timely administration of medication and first aid ...
AHA/ASA Journals

Multistage Electrocardiographic Profiling for Mental Stress-Induced Myocardial Ischemia in Women: A Prospective, Age-Matched Cohort Study in China

BACKGROUND: Mental stress-induced myocardial ischemia is often clinically silent and associated with increased cardiovascular risk, particularly in women. Conventional ECG-based detection is limited, ...
IEEE

Compressed Learning for Real-Time ECG Signals Classification

Abstract: Electrocardiograms (ECGs) are essential for diagnosing cardiac conditions, yet high-fidelity 12-lead signals pose challenges for storage, transmission, and real-time processing. Compressed ...