People's decisions are known to be influenced by past experiences, including the outcomes of earlier choices. For over a ...

A new machine learning model built using a simple and interpretable approach predicts in-hospital death in patients with acute liver failure and reveals top risk drivers.

One way to build these skills is to move from theory-based education to simulation-based education, though this can require an organizational shift in how knowledge is transferred. As AI systems ...

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 ...

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