Machine learning-based classification of diabetes mellitus using sociodemographic, behavioral, and clinical predictor

Researchers developed machine learning models using WHO STEPS survey data from 14 low- and lower-middle-income countries to improve diabetes risk prediction based on sociodemographic, behavioral, and clinical factors. The study analyzed data from over 56,000 adults, aiming to support early detection in resource-limited settings.