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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...
Uloženo v:
| Vydáno v: | Sci Rep |
|---|---|
| Hlavní autoři: | , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Nature Publishing Group UK
2018
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| Témata: | |
| On-line přístup: | 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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