Deep Learning Approach for Imputation of Missing Values in Actigraphy Data: Algorithm Development Study

BACKGROUND: Data collected by an actigraphy device worn on the wrist or waist can provide objective measurements for studies related to physical activity; however, some data may contain intervals where values are missing. In previous studies, statistical methods have been applied to impute missing v...

Descripción completa

Detalles Bibliográficos
Autores principales: Jang, Jong-Hwan, Choi, Junggu, Roh, Hyun Woong, Son, Sang Joon, Hong, Chang Hyung, Kim, Eun Young, Kim, Tae Young, Yoon, Dukyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7413283/
https://www.ncbi.nlm.nih.gov/pubmed/32445459
http://dx.doi.org/10.2196/16113

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7413283/
https://www.ncbi.nlm.nih.gov/pubmed/32445459
http://dx.doi.org/10.2196/16113

Ejemplares similares