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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2022
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| 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 |