Characterizing daily physical activity patterns with unsupervised learning via functional mixture models

Ensari, I., Caceres, B. A., Jackman, K. B., Goldsmith, J., Suero-Tejeda, N. M., Odlum, M. L., & Bakken, S. (2024). Characterizing daily physical activity patterns with unsupervised learning via functional mixture models. Journal of Behavioral Medicine. https://doi.org/10.1007/s10865-024-00519-w
Authors:
Ipek Ensari
Billy A Caceres
Kasey B Jackman
Jeff Goldsmith
Niurka M Suero-Tejeda
Michelle L Odlum
Suzanne Bakken
Affiliated Authors:
Ipek Ensari
Billy A Caceres
Kasey B Jackman
Jeff Goldsmith
Niurka M Suero-Tejeda
Michelle L Odlum
Suzanne Bakken
Columbia Affiliation:
Author Keywords:
accelerometry
clustering
functional data
physical activity
unsupervised learning
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Publication Type:
Article
Unique ID:
10.1007/s10865-024-00519-w
PMID:
39306631
DOI:
10.1007/s10865-024-00519-w
Journal:
Journal of Behavioral Medicine
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record

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