Digital phenotyping of sleep patterns among heterogenous samples of Latinx adults using unsupervised learning

Ensari, I., Caceres, B. A., Jackman, K. B., Suero-Tejeda, N., Shechter, A., Odlum, M. L., & Bakken, S. (2021). Digital phenotyping of sleep patterns among heterogenous samples of Latinx adults using unsupervised learning. Sleep Medicine, 85, 211–220. https://doi.org/10.1016/j.sleep.2021.07.023
Authors:
Ipek Ensari
Billy A. Caceres
Kasey B. Jackman
Niurka Suero-Tejeda
Ari Shechter
Michelle L. Odlum
Suzanne Bakken
Affiliated Authors:
Ipek Ensari
Billy A. Caceres
Kasey B. Jackman
Niurka Suero-Tejeda
Ari Shechter
Michelle L. Odlum
Suzanne Bakken
Columbia Affiliation:
Subjects:
Actigraphy (MeSH)
Unsupervised Machine Learning (MeSH)
Author Keywords:
digital phenotyping
minority health
actigraphy
machine learning
mixture models
elink
Publication Type:
Article
Unique ID:
10.1016/j.sleep.2021.07.023
PMID:
34364092
DOI:
10.1016/j.sleep.2021.07.023
Journal:
Sleep Medicine
Publication Date:
Data Source:
Scopus
Source Link:
View Scopus Record
View PubMed Record
View Web of Science Record

Record Created: