Prediction of diabetes disease using an ensemble of machine learning multi-classifier models

Prediction of diabetes disease using an ensemble of machine learning multi-classifier models

Abstract Background and objective Diabetes is a life-threatening chronic disease with a growing global prevalence, necessitating early diagnosis and treatment to prevent severe complications. Machine learning has emerged as a promising approach for diabetes diagnosis, but challenges such as limited...

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Bibliographic Details
Main Authors: Karlo Abnoosian, Rahman Farnoosh, Mohammad Hassan Behzadi
Format: Article
Language:English
Published: BMC 2023-09-01
Series:BMC Bioinformatics
Subjects:
Diabetes disease prediction
Machine learning classifiers
Ensemble machine learning models
Decision tree
Random forest
Feature selection
Online Access:https://doi.org/10.1186/s12859-023-05465-z

Internet

https://doi.org/10.1186/s12859-023-05465-z

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