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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Principais autores:	Dinesh Chellappan, Harikumar Rajaguru
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Nature Portfolio 2025-02-01
coleção:	Scientific Reports
Assuntos:	Early diabetes detection Machine learning Microarray gene expression data Feature extraction Feature selection Nordic Islet Transplant Program (NITP)
Acesso em linha:	https://doi.org/10.1038/s41598-025-87471-0
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