Generalizability of machine learning models for diabetes detection a study with nordic islet transplant and PIMA datasets

Abstract Diabetes Mellitus (DM) is a global health challenge, and accurate early detection is critical for effective management. The study explores the potential of machine learning for improved diabetes prediction using microarray gene expression data and PIMA data set. Researchers utilizing a hybr...

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Autors principals:	Dinesh Chellappan, Harikumar Rajaguru
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2025-02-01
Col·lecció:	Scientific Reports
Matèries:	Early diabetes detection Machine learning Microarray gene expression data Feature extraction Feature selection Nordic Islet Transplant Program (NITP)
Accés en línia:	https://doi.org/10.1038/s41598-025-87471-0
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