An ensemble Machine Learning approach for predicting Type-II diabetes mellitus based on lifestyle indicators

An ensemble Machine Learning approach for predicting Type-II diabetes mellitus based on lifestyle indicators

Machine Learning (ML) is a branch of artificial intelligence that allows computers to learn without being explicitly programmed. ML has been widely used in healthcare to predict various chronic diseases. Prediction of diabetes at earlier stages is crucial for better clinical pathways to reduce the c...

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Bibliographic Details
Main Authors:	Shahid Mohammad Ganie, Majid Bashir Malik
Format:	Article
Language:	English
Published:	Elsevier 2022-11-01
Series:	Healthcare Analytics
Subjects:	Ensemble Machine Learning Diagnostic analytics Exploratory data analysis Type II diabetes mellitus Feature engineering K-fold cross-validation
Online Access:	http://www.sciencedirect.com/science/article/pii/S2772442522000399

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