Predicting extreme rainfall through novel spatial modeling

Japan is an archipelago with diverse climate zones and complex topography that is prone to heavy rain and flooding. Add the ...
IEEE

Predicting Stroke Risk Using SMOTE and ROS Machine Learning Techniques

Abstract: The World Stroke Organization has reported that globally 12.2 million people have a stroke for the first time, and 90% of them were related to risk factors that could have been modified.
BMJ Open

Association between maternal age at childbirth and children’s internalising problems in the USA: a cross-sectional mediation analysis of housing instability and family ...

Objectives The optimal maternal age at childbirth has been a topic of bourgeoning literature, with earlier ages offering physiological benefits for maternal recovery. In contrast, later ages to give ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
IEEE

Evaluating Python Static Code Analysis Tools Using FAIR Principles

Abstract: The quality of modern software relies heavily on the effective use of static code analysis tools. To improve their usefulness, these tools should be evaluated using a framework that ...
The American Journal of Managed Care

PREVENT Equations Accurately Predict 10-Year CVD Risk Across Diverse Groups

Strong discrimination for total CVD was observed with the base PREVENT equation, with C indexes of 0.764 (White), 0.773 (Asian), and 0.757 (Native Hawaiian and Other Pacific Islander). Marked ...