Prediction of sleep pattern for university students using machine learning

Sleep patterns significantly affect the health and academic performance of university students. This study aims to predict sleep patterns among university students using machine learning techniques, focusing on the classification of regular and irregular sleep behaviors. Data was collected through a...

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Bibliographic Details

Main Authors:	Widya, Muhammad Faishal Atha, Utoro, Rio Korio, Roedavan, Rickman, Soegiarto, Duddy, Moorthy, Kohbalan, Pratondo, Agus
Format:	Conference or Workshop Item
Language:	en
Published:	IEEE 2026
Subjects:	BF Psychology Q Science (General) QA75 Electronic computers. Computer science
Online Access:	https://umpir.ump.edu.my/id/eprint/47001/1/Prediction_of_Sleep_Pattern_for_University_Students_using_Machine_Learning-2.pdf https://umpir.ump.edu.my/id/eprint/47001/ https://doi.org/10.1109/COMNETSAT68601.2025.11324868
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