دورية أكاديمية

Performance of an open machine learning model to classify sleep/wake from actigraphy across ∼24-hour intervals without knowledge of rest timing

التفاصيل البيبلوغرافية
العنوان: Performance of an open machine learning model to classify sleep/wake from actigraphy across ∼24-hour intervals without knowledge of rest timing
المؤلفون: Roberts, Daniel M., Schade, Margeaux M., Master, Lindsay, Honavar, Vasant G., Nahmod, Nicole G., Chang, Anne-Marie, Gartenberg, Daniel, Buxton, Orfeu M.
المصدر: In Sleep Health: Journal of the National Sleep Foundation October 2023 9(5):596-610
قاعدة البيانات: ScienceDirect
الوصف
تدمد:23527218
DOI:10.1016/j.sleh.2023.07.001