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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7239487/ https://www.ncbi.nlm.nih.gov/pubmed/32433717 http://dx.doi.org/10.1371/journal.pone.0233229 |