Enhancing Bipolar Disorder Detection using Heterogeneous Ensemble Machine Learning Techniques

• Main Authors: Lingeswari, Sivagnanam, N. Karthikeyani, Visalakshi
• Format: Article
• Language: English; English
• Published: INTI International University 2024
• Subjects: Q Science (General); QA75 Electronic computers. Computer science; QA76 Computer software; R Medicine (General)
• 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

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...