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Author

E. Guldogan

2 papers indexed here

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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
Open access 2026

An explainable artificial intelligence–based stacking ensemble for heart failure mortality prediction: A data-leakage-free clinical decision support approach

A data-leakage-free stacking ensemble model predicting mortality from baseline variables, targeting high sensitivity for clinical safety, and utilizing Explainable Artificial Intelligence (XAI) methods can significantly enhance clinician confidence in AI-assisted evaluations.

Fadime Erinci, E. Guldogan, Cemil Çolak · 0 citations

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