Digital finance is accelerating, and threats are evolving in complexity, outpacing traditional methods for detecting fraud.

Early prediction of in-hospital pneumonia mortality can effectively be done using a machine learning (ML) model based on clinical data.

Objective We aimed to estimate prevalence and identify determinants of hypertension in adults aged 15–49 years in Tanzania.

A team of Master’s students in Data Science and Big Data at Hassan II University in Casablanca has designed an artificial ...

The following is a summary of “A novel predictive method for URS and laser lithotripsy using machine learning and explainable AI: results from the FLEXOR international database,” published in the May ...

This study highlights the potential of heart rate variability as an early indicator of gestational diabetes, facilitating ...

The dataset used was a widely known credit card fraud detection benchmark obtained from Kaggle. It is notoriously imbalanced, ...

Objective To assess the association between educational level and cardiovascular age acceleration metric derived from ECG, and to determine whether this association is mediated by established ...