Predicting insomnia symptoms in university students using machine learning: The roles of stress, dietary intake, and nature connectedness

Poon, Y.F.Y.F.PoonLau, S.S.S.S.LauChui, W.L.W.L.ChuiDr. LAM Lok-hang, TommyTommyDr. LAM Lok-hang2026-09-042026-09-042026Poon, Y. F., Lau, S. S., Chui, W. L., & Lam, L. H. (2026). Predicting insomnia symptoms in university students using machine learning: The roles of stress, dietary intake, and nature connectedness. In World Sleep Society (Ed.). Sleep Medicine, vol. 138 (Suppl). 18th World Sleep Congress, Singapore (article no. 108425). Elsevier BV.1389-94571878-5506http://hdl.handle.net/20.500.11861/29061enPredicting insomnia symptoms in university students using machine learning: The roles of stress, dietary intake, and nature connectednessConference Paper10.1016/j.sleep.2025.108425