Optimized hybrid machine learning framework for early diabetes prediction using electrogastrograms

Optimized hybrid machine learning framework for early diabetes prediction using electrogastrograms

Abstract In recent years, diabetes has become a global public health problem, and it is reported that the migrant Indians have more prevalence rate of Type-II diabetes. Also, the type-II diabetes in Indians are increased to a large extent due to modern lifestyle, food habits etc. In this work, an El...

Full description

Saved in:
Bibliographic Details
Main Authors: Paramasivam Alagumariappan, Malathy Sathyamoorthy, Rajesh Kumar Dhanaraj, K. Kamalanand, C. Emmanuel, Sarah Allabun, Manal Othman, Masresha Getahun, Ben Othman Soufiene
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Artificial intelligence
Digestive health
Diagnosis
Electrogastrograms
Explainable artificial intelligence
Type II diabetes
Online Access:https://doi.org/10.1038/s41598-025-93495-3
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-025-93495-3

Similar Items