Advanced sleep disorder detection using multi-layered ensemble learning and advanced data balancing techniques

Advanced sleep disorder detection using multi-layered ensemble learning and advanced data balancing techniques

Sleep disorder detection has greatly improved with the integration of machine learning, offering enhanced accuracy and effectiveness. However, the labor-intensive nature of diagnosis still presents challenges. To address these, we propose a novel coordination model aimed at improving detection accur...

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Bibliographic Details
Main Authors: Muhammad Mostafa Monowar, S. M. Nuruzzaman Nobel, Maharin Afroj, Md Abdul Hamid, Md Zia Uddin, Md Mohsin Kabir, M. F. Mridha
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Artificial Intelligence
Subjects:
machine learning
sleep disorder
ensemble approach
explainable AI
healthcare
diagnosis
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2024.1506770/full
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