Medscape

Daily Steps Plus Genetic Risk Combo Can Predict Type 2 Diabetes Risk

Combining wearable-derived daily step counts with polygenic risk scores improves the prediction of incident type 2 diabetes ...
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, ...
Frontiers

Development and internal validation of a machine learning algorithm for the risk of type 2 diabetes mellitus in children with obesity

Aim: We aimed to develop and internally validate a machine learning (ML)-based model for the prediction of the risk of type 2 diabetes mellitus (T2DM) in children with obesity. Methods: In total, 292 ...
Frontiers

Development and validation of machine learning-based diagnostic models using blood transcriptomics for early childhood diabetes prediction

Background: Early identification of Type 1 Diabetes Mellitus (T1DM) in pediatric populations is crucial for implementing timely interventions and improving long-term outcomes. Peripheral blood ...
Sports Illustrated

West Ham vs. Nottingham Forest: Preview, Predictions and Lineups

Nottingham Forest must claim victory during their trip to West Ham United on Sunday afternoon to keep their dreams of Champions League qualification alive. Defeat at the London Stadium would guarantee ...
IEEE

Random Forest Algorithm for the Prediction of Diabetes

Abstract: Diabetes is taken into account together of the deadliest and chronic disease that causes a rise in glucose. Polygenic disease is that the kind wherever the exocrine gland doesn't manufacture ...