Health professions students’ acceptance and readiness for learning analytics: lessons for educators | BMC Medical Education
Data is claimed to be the new oil in the twenty-first century because it provides insightful information that can help...
Health
Racial Disparities in Maternal and Infant Health: Current Status and Efforts to Address Them
Summary Stark racial disparities in maternal and infant health in the U.S. have persisted for decades despite continued advancements in...
Using interpretable machine learning methods to identify the relative importance of lifestyle factors for overweight and obesity in adults: pooled evidence from CHNS and NHANES | BMC Public Health
Apovian CM, Obesity: definition, comorbidities, causes, and Burden. Am J Managed Care. 2016;22:s176–85.World Health Organization. Obesity and its root causes....
Machine learning method helps predict mental health symptoms in adolescents
In recent decades researchers have shown that an adolescent’s neurobiology and environment interact to shape emotional and behavioral development, but...
New learning technique enhances detection and prediction of adolescent mental health disorders
The majority of mental health disorders manifest during adolescence and relate to a multiplex interplay of neurobiological and environmental factors....
Pusan National University Researchers Revolutionize Environmental Health with Advanced Explainable Machine Learning Approach
Machine Learning with FLIT-SHAP Reveals Crucial Pollutant Interactions, Enhancing Toxicity Predictions and Environmental Health Decision-MakingBUSAN, South Korea, July 23, 2024 /PRNewswire/...
