Diabetes Development Prediction Using a Hybrid Model Combining Dendritic Artificial Neuron Model and Logistic Regression

Objective: The aim of this study is to introduce a Dendritic Neuron Model (DNM)–Logistic Regression (LR)–Artificial Neural Network (ANN) hybrid model that seeks to achieve a comprehensive model with optimal accuracy, sensitivity, and specificity for predicting diabetes using the PIMA dataset and po...

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Autors principals:	Melih Ağraz, Erol Eğrioğlu, Eren Baş, Mu-Yen Chen, Dinçer Göksülük, Mehmet Furkan Burak
Format:	Artigo
Idioma:	Inglês
Publicat:	Society of Endocrinology and Metabolism of Turkey 2025-03-01
Col·lecció:	Endocrinology Research and Practice
Matèries:	Diabetes mellitus logistic regression machine learning
Accés en línia:	https://endocrinolrespract.org/index.php/pub/article/view/1262
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