Laboratory-based and free-living algorithms for energy expenditure estimation in preschool children: A free-living evaluation

Machine learning models to predict energy expenditure (EE) from accelerometer data have traditionally been trained on data from laboratory-based activity trials. However, accuracy is typically attenuated when implemented in free-living scenarios. Currently, no studies involving preschool children ha...

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Detaylı Bibliyografya
Yayımlandı:PLoS One
Asıl Yazarlar: Ahmadi, Matthew N., Chowdhury, Alok, Pavey, Toby, Trost, Stewart G.
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Public Library of Science 2020
Konular:
Research Article
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC7239487/
https://ncbi.nlm.nih.gov/pubmed/32433717
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0233229
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