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Applying machine learning to predict future adherence to physical activity programs
BACKGROUND: Identifying individuals who are unlikely to adhere to a physical exercise regime has potential to improve physical activity interventions. The aim of this paper is to develop and test adherence prediction models using objectively measured physical activity data in the Mobile Phone-Based...
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| Wydane w: | BMC Med Inform Decis Mak |
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| Główni autorzy: | , , , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
BioMed Central
2019
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6704548/ https://ncbi.nlm.nih.gov/pubmed/31438926 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-019-0890-0 |
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