Physical Activity, Sedentary Behavior, and Sleep on Twitter: Multicountry and Fully Labeled Public Data Set for Digital Public Health Surveillance Research

BACKGROUND: Advances in automated data processing and machine learning (ML) models, together with the unprecedented growth in the number of social media users who publicly share and discuss health-related information, have made public health surveillance (PHS) one of the long-lasting social media ap...

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Detalles Bibliográficos
Autores principales: Shakeri Hossein Abad, Zahra, Butler, Gregory P, Thompson, Wendy, Lee, Joon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Open Source/Open Data
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8887637/
https://www.ncbi.nlm.nih.gov/pubmed/35156938
http://dx.doi.org/10.2196/32355

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8887637/
https://www.ncbi.nlm.nih.gov/pubmed/35156938
http://dx.doi.org/10.2196/32355

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