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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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Dades bibliogràfiques
Publicat a:BMC Med Inform Decis Mak
Autors principals: Zhou, Mo, Fukuoka, Yoshimi, Goldberg, Ken, Vittinghoff, Eric, Aswani, Anil
Format: Artigo
Idioma:Inglês
Publicat: BioMed Central 2019
Matèries:
Accés en línia: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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