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Author

F. Yagin

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Open access 2026

Machine learning prediction of inpatient length of stay in hospitalised patients with diabetes

Aim: This study aimed to identify clinical, demographic, and pharmaceutical predictors of inpatient hospital length of stay (LOS) among diabetic patients using supervised machine learning classifiers, and to evaluate the comparative predictive performance of these models for LOS risk stratification. Materials and Metho...

F. Yagin, E. Guldogan, Cemil Çolak · 0 citations

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