MACHINE LEARNING BASED PREDICTION AND INSIGHTS OF DIABETES DISEASE: PIMA INDIAN AND FRANKFURT DATASETS

MACHINE LEARNING BASED PREDICTION AND INSIGHTS OF DIABETES DISEASE: PIMA INDIAN AND FRANKFURT DATASETS

This paper focused on predicting diabetes disease using machine learning models which is a very active and highly important area of research. Six machine learning methods and three diabetes datasets were experimented with to investigate model performances. The methods are logistic regression, k-Ne...

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Bibliographic Details
Main Authors: Mohammad Raquibul Hossain, Md. Jamal Hossain, Md. Mijanoor Rahman, Mohammad Manjur Alam
Format: Article
Language:English
Published: Institute of Mechanics of Continua and Mathematical Sciences 2025-01-01
Series:Journal of Mechanics of Continua and Mathematical Sciences
Subjects:
machine learning methods
diabetes prediction
logistic regression
classification
random forest
xgboost.
Online Access:https://jmcms.s3.amazonaws.com/wp-content/uploads/2025/01/20062401/jmcms-2501015-MACHINE-LEARNING-BASED-PREDICTION-MH-JH-1.pdf
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