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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Detalles Bibliográficos
Autores principales: Zhou, Mo, Fukuoka, Yoshimi, Goldberg, Ken, Vittinghoff, Eric, Aswani, Anil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6704548/
https://www.ncbi.nlm.nih.gov/pubmed/31438926
http://dx.doi.org/10.1186/s12911-019-0890-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6704548/
https://www.ncbi.nlm.nih.gov/pubmed/31438926
http://dx.doi.org/10.1186/s12911-019-0890-0

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