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, incorporatin...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English English |
| Published: |
INTI International University
2024
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| Subjects: | |
| Online Access: | http://eprints.intimal.edu.my/2018/1/jods2024_36.pdf http://eprints.intimal.edu.my/2018/2/557 http://eprints.intimal.edu.my/2018/ http://ipublishing.intimal.edu.my/jods.html |
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