Open AccessMachine Learning Analyses Reveal Circadian Features Predictive of Risk for Sleep Disturbance
Author(s) -
Rebeccah Overton,
Aziz Zafar,
Ziad Attia,
Ahmet Ay,
Krista K. Ingram
Publication year - 2022
Publication title -
nature and science of sleep
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.715
H-Index - 34
ISSN - 1179-1608
DOI - 10.2147/nss.s379888
Subject(s) - circadian rhythm , chronotype , circadian clock , sleep disorder , population , free running sleep , dark therapy , sleep (system call) , clock , medicine , cryptochrome , neuroscience , evening , chronobiology , biology , physiology , light effects on circadian rhythm , cognition , computer science , operating system , physics , environmental health , astronomy
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