Enhancing Bipolar Disorder Detection Using Heterogeneous Ensemble
Machine Learning Techniques

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Enhancing Bipolar Disorder Detection Using Heterogeneous Ensemble Machine Learning Techniques

This paper introduces a novel Heterogeneous Ensemble Machine Learning (HEML) approach designed to detect bipolar disorder, a significant healthcare challenge that demands precise and prompt diagnosis for effective treatment. The HEML method integrates multiple machines learning models, incorporat...

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Bibliographic Details
Main Authors:	Lingeswari, Sivagnanam, N. Karthikeyani, Visalakshi
Format:	Article
Language:	English English
Published:	INTI International University 2025
Subjects:	Q Science (General) QA75 Electronic computers. Computer science QA76 Computer software
Online Access:	http://eprints.intimal.edu.my/2137/ http://eprints.intimal.edu.my/2137/1/jods2025_01.pdf http://eprints.intimal.edu.my/2137/2/679

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