Digital phenotyping of sleep patterns among heterogenous samples of Latinx adults using unsupervised learning.
Sign Up to like & getrecommendations! Published in 2021 at "Sleep medicine"
DOI: 10.1016/j.sleep.2021.07.023
Abstract: OBJECTIVE This study aimed to identify sleep disturbance subtypes ("phenotypes") among Latinx adults based on objective sleep data using a flexible unsupervised machine learning technique. METHODS This study was an analysis of sleep data from… read more here.
Keywords: digital phenotyping; phenotyping sleep; using unsupervised; latinx adults ... See more keywords
0443 Intra Week Sleep Patterns Analyzed Using Consumer Sleep Tracker Data
Sign Up to like & getrecommendations! Published in 2020 at "Sleep"
DOI: 10.1093/sleep/zsaa056.440
Abstract: Big data collected using consumer sleep technology can provide objectively measured insights on sleep behavior in the real-life environment. It has the advantage over self-report data of being less prone to bias. Here we used… read more here.
Keywords: weekend; using consumer; consumer sleep; sleep ... See more keywords
A low-threshold sleep intervention for improving sleep quality and well-being
Sign Up to like & getrecommendations! Published in 2023 at "Frontiers in Psychiatry"
DOI: 10.3389/fpsyt.2023.1117645
Abstract: Background Approximately one-third of the healthy population suffer from sleep problems, but only a small proportion of those affected receive professional help. Therefore, there is an urgent need for easily accessible, affordable, and efficacious sleep… read more here.
Keywords: low threshold; threshold sleep; sleep intervention; intervention ... See more keywords