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

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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Bibliographic Details
Main Authors: Dinesh Chellappan, Harikumar Rajaguru
Format: Article
Language:English
Published: Nature Portfolio 2025-02-01
Series:Scientific Reports
Subjects:
Early diabetes detection
Machine learning
Microarray gene expression data
Feature extraction
Feature selection
Nordic Islet Transplant Program (NITP)
Online Access:https://doi.org/10.1038/s41598-025-87471-0
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https://doi.org/10.1038/s41598-025-87471-0

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