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Statistical machine learning of sleep and physical activity phenotypes from sensor data in 96,220 UK Biobank participants
Current public health guidelines on physical activity and sleep duration are limited by a reliance on subjective self-reported evidence. Using data from simple wrist-worn activity monitors, we developed a tailored machine learning model, using balanced random forests with Hidden Markov Models, to re...
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| Publicado no: | Sci Rep |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5962537/ https://ncbi.nlm.nih.gov/pubmed/29784928 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-018-26174-1 |
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