Device-based measurement of physical activity in pre-schoolers: Comparison of machine learning and cut point methods

INTRODUCTION: Machine learning (ML) accelerometer data processing methods have potential to improve the accuracy of device-based assessments of physical activity (PA) in young children. Yet the uptake of ML methods by health researchers has been minimal and the use of cut-points (CP) continues to be...

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Detalles Bibliográficos
Autores principales: Ahmadi, Matthew N., Trost, Stewart G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9007358/
https://www.ncbi.nlm.nih.gov/pubmed/35417492
http://dx.doi.org/10.1371/journal.pone.0266970

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9007358/
https://www.ncbi.nlm.nih.gov/pubmed/35417492
http://dx.doi.org/10.1371/journal.pone.0266970

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