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

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

BackgroundData 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 val...

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Bibliographic Details
Main Authors:	Jang, Jong-Hwan, Choi, Junggu, Roh, Hyun Woong, Son, Sang Joon, Hong, Chang Hyung, Kim, Eun Young, Kim, Tae Young, Yoon, Dukyong
Format:	Article
Language:	English
Published:	JMIR Publications 2020-07-01
Series:	JMIR mHealth and uHealth
Online Access:	http://mhealth.jmir.org/2020/7/e16113/

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