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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…
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Keywords:
digital phenotyping;
phenotyping sleep;
using unsupervised;
latinx adults ... See more keywords
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Published in 2025 at "Science Advances"
DOI: 10.1126/sciadv.adq8131
Abstract: There is great interest in using genetically tractable organisms such as Drosophila to gain insights into the regulation and function of sleep. However, sleep phenotyping in Drosophila has largely relied on simple measures of locomotor…
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Keywords:
learning platform;
phenotyping sleep;
deep phenotyping;
machine learning ... See more keywords