Nature

Predicting major amputation risk in diabetic foot ulcers using comparative machine learning models for enhanced clinical decision-making

It is to develop a predictive model utilizing machine learning techniques to promptly identify patients with diabetic foot ulcers (DFU) who may require major amputation upon their initial admission. A ...
Nature

Machine Learning-Based predictive model for adolescent metabolic syndrome: Utilizing data from NHANES 2007–2016

Metabolic syndrome (Mets) in adolescents is a growing public health issue linked to obesity, hypertension, and insulin resistance, increasing risks of cardiovascular disease and mental health problems ...
The American Journal of Managed Care

Novel Machine Learning Model Improves MASLD Detection in Type 2 Diabetes

MASLD is prevalent in T2DM patients, with a 65% occurrence rate, and poses a higher risk for severe liver diseases. The study analyzed 3,836 T2DM patients, identifying key predictors like BMI, ...
Business Wire

CCS Launches PropheSee™, an AI-Powered Predictive Model that Improves Therapy Adherence for People Living with Diabetes

DALLAS--(BUSINESS WIRE)--CCS — leading provider of clinical solutions and home-delivered medical supplies for those living with chronic conditions — today announced PropheSee ™ a new, AI-powered ...