Significant predictors were selected on the training set using recursive feature elimination methods, followed by prediction model development using 7 machine learning algorithms (logistic regression, ...

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, ...

Introduction Frailty is a common condition in older adults with diabetes, which significantly increases the risk of adverse health outcomes. Early identification of frailty in this population is ...

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 ...

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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 ...

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 ...

Objective: To characterize, via a predictive model using real-world data, patients with diabetes with a heightened probability of hospitalization. Methods: At the Endocrinology Unit of a tertiary ...