Identifying Data Quality Dimensions for Person-Generated Wearable Device Data: Multi-Method Study

BACKGROUND: There is a growing interest in using person-generated wearable device data for biomedical research, but there are also concerns regarding the quality of data such as missing or incorrect data. This emphasizes the importance of assessing data quality before conducting research. In order t...

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Detalles Bibliográficos
Autores principales: Cho, Sylvia, Weng, Chunhua, Kahn, Michael G, Natarajan, Karthik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8738984/
https://www.ncbi.nlm.nih.gov/pubmed/34941540
http://dx.doi.org/10.2196/31618

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8738984/
https://www.ncbi.nlm.nih.gov/pubmed/34941540
http://dx.doi.org/10.2196/31618

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