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Improving Hip-Worn Accelerometer Estimates of Sitting Using Machine Learning Methods
PURPOSE: This study aimed to improve estimates of sitting time from hip-worn accelerometers used in large cohort studies by using machine learning methods developed on free-living activPAL data. METHODS: Thirty breast cancer survivors concurrently wore a hip-worn accelerometer and a thigh-worn activ...
Tallennettuna:
| Julkaisussa: | Med Sci Sports Exerc |
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| Päätekijät: | , , , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Lippincott Williams & Wilkins
2018
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6023581/ https://ncbi.nlm.nih.gov/pubmed/29443824 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1249/MSS.0000000000001578 |
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