Efficient diagnosis of diabetes mellitus using an improved ensemble method

Efficient diagnosis of diabetes mellitus using an improved ensemble method

Abstract Diabetes is a growing health concern in developing countries, causing considerable mortality rates. While machine learning (ML) approaches have been widely used to improve early detection and treatment, several studies have shown low classification accuracies due to overfitting, underfittin...

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Main Authors: Blessing Oluwatobi Olorunfemi, Adewale Opeoluwa Ogunde, Ahmad Almogren, Abidemi Emmanuel Adeniyi, Sunday Adeola Ajagbe, Salil Bharany, Ayman Altameem, Ateeq Ur Rehman, Asif Mehmood, Habib Hamam
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Classification
Diabetes Mellitus
Gradient boosting
Random forest
XG boost
Online Access:https://doi.org/10.1038/s41598-025-87767-1
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https://doi.org/10.1038/s41598-025-87767-1

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