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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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| Publicado no: | PLoS One |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2020
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| Assuntos: | |
| Acesso em linha: | 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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