To prevent data imbalance, a common problem in environmental modeling where non-flooded areas vastly outnumber flooded points ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...

AI-based analysis of OCT imaging may detect early signs of sickle cell maculopathy in pediatric patients, a study suggests.

With the rapid advancements in computer technology and bioinformatics, the prediction of protein-ligand binding sites has ...

Machine learning models using initial neuropsychological and neuropsychiatric clinical data accurately distinguished AD from bvFTD.

Groundwater quality in Kasganj is critically compromised. This study uses advanced machine learning to predict contamination ...

Critical concerns regarding the security and privacy of information transmitted within Internet of Medical Things systems have increased greatly ...

As climate change produces ever more heat waves, how many homes in the U.S. lack adequate cooling? Who's most vulnerable to lethal temperatures, and exactly where do they live?

1 Department Health informatics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia 2 Department of Community Health Nursing, School of Nursing ...