Using unsupervised machine learning to quantify physical activity from accelerometry in a diverse and rapidly changing population. (2023)

First Author: Thornton CB

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1371/journal.pdig.0000220

PubMed Identifier: 37018183

Publication URI: http://europepmc.org/abstract/MED/37018183

Type: Journal Article/Review

Volume: 2

Parent Publication: PLOS digital health

Issue: 4

ISSN: 2767-3170