A machine learning-based model can predict 30-day in-hospital mortality among patients with asthma in the ICU.

Background Digital therapeutics (DTx) show promise in bridging mental healthcare gaps. However, treatment selection often relies on availability and trial-and-error, prolonging suffering and ...

A study in Robot Learning demonstrates how combining decision-making with machine learning enables robots to detect, analyze, and classify drinking water samples. Using TOPSIS and Random Forest on ...

A research team has developed a novel approach combining refined spatial competition mapping with powerful ensemble learning ...