Nature

Machine Learning Applications in Diabetes Prediction and Diagnosis

This overview examines the integration of machine learning (ML) approaches into diabetes prediction and diagnosis, highlighting the evolution from classical statistical methods to advanced data-driven ...
TMCnet

Jeonbuk National University Researchers Develop an AI Model For Personalized Blood Glucose Monitoring

The hybrid model integrates three components to address key challenges and was rigorously evaluated, paving way for accurate blood glucose prediction. JEONBUK-DO, South Korea, Mar ...
Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
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, ...