The XGBoost-based approach demonstrated robust external validation across multiple centers, supporting clinical adoption to guide personalized treatment decisions.

Many retail myths around product launches still persist—from overstocking safety stock to over-relying on historical data.

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

Bankruptcy prediction has traditionally relied on statistical approaches such as Altman’s Z-score, which use financial ratios ...

Government procurement contracts can be complicated, with extensive risk analysis and compliance reviews. The traditional methods of contract analytics are time-consuming and often inexact, thus ...

Sleep disturbances are a key contributor to agitation. Poor sleep quality, characterized by frequent awakenings, insomnia, and fragmented rest, affects up to half of dementia patients in advanced ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Neonatal jaundice is a common complication of hemolytic disease of the fetus and newborn (HDFN). Machine learning is a field ...

Good vision is essential for enjoying independence and, of course, the joys of life. However, more than 2.2 billion people are unable to do so due to having a vision impairment, which happens due to ...