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Publication

Predicting self-reported wellbeing from sleep with mixed effects random forest.

Choi, S., Fedor, S., Stickgold, R., Nathan, V., Freedman, M., & Picard, R. (2024). Predicting self-reported wellbeing from sleep with mixed effects random forest. In Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE.

Abstract

Mixed effects random forest models out-perform traditional random forests when using sleep data to predict self-reported wellbeing scores in college students.

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