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...
Saved in:
Main Authors: | Dinesh Chellappan, Harikumar Rajaguru |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2025-02-01
|
Series: | Scientific Reports |
Subjects: | |
Online Access: | https://doi.org/10.1038/s41598-025-87471-0 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Advancements and Challenges in Immune Protection Strategies for Islet Transplantation
by: Xue Wang, et al.
Published: (2025-01-01) -
An unmet need: Pancreatic beta cell replacement
by: F Mohamed, et al.
Published: (2024-04-01) -
NORDIC COOPERATION IN CULTURE AND EDUCATION
by: V. S. Vodopyanov
Published: (2013-10-01) -
Fantasised and fantastical Nordic imaginaries: Contextualising Nordic life vlogs by East Asian YouTube vloggers
by: Lee Jin, et al.
Published: (2024-09-01) -
Dysfunctional β-cell autophagy induces β-cell stress and enhances islet immunogenicity
by: Matthew C. Austin, et al.
Published: (2025-01-01)