Chargement en cours...
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...
Enregistré dans:
| Publié dans: | PLoS One |
|---|---|
| Auteurs principaux: | , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Public Library of Science
2020
|
| Sujets: | |
| Accès en ligne: | 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 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|