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, ...
Sports Illustrated

Staff Predictions For Georgia Tech vs Wake Forest

No. 16 Georgia Tech remains firm in the spotlight and will get another chance to prove its worth against Wake Forest on the road and advance to 5-0 on the season. Georgia Tech has notable wins over ...
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 ...
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 ...