This paper is in the following e-collection/theme issue:

Fitness Trackers and Smart Pedometers/Accelerometers (561) New Methods (944) Machine Learning (1465) mHealth for Data Collection and Research (955)

Published on in Vol 8, No 7 (2020): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16113, first published .
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

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

Authors of this article:

Jong-Hwan Jang1 Author Orcid Image ;   Junggu Choi1 Author Orcid Image ;   Hyun Woong Roh2 Author Orcid Image ;   Sang Joon Son3 Author Orcid Image ;   Chang Hyung Hong3 Author Orcid Image ;   Eun Young Kim1, 4 Author Orcid Image ;   Tae Young Kim1 Author Orcid Image ;   Dukyong Yoon1, 4 Author Orcid Image
Article Authors Cited by (19) Tweetations (2) Metrics

Jong-Hwan Jang   1 * , BA ;   Junggu Choi   1 * , BE ;   Hyun Woong Roh   2 , MD ;   Sang Joon Son   3 , MD, PhD ;   Chang Hyung Hong   3 , MD, PhD ;   Eun Young Kim   1, 4 , PhD ;   Tae Young Kim   1 , BE ;   Dukyong Yoon   1, 4 , MD, PhD

1 Department of Biomedical Informatics, School of Medicine, Ajou University, Suwon, Gyeonggi-do, Republic of Korea

2 Department of Brain Science, School of Medicine, Ajou University, Suwon, Gyeonggi-do, Republic of Korea

3 Department of Psychiatry, School of Medicine, Ajou University, Suwon, Gyeonggi-do, Republic of Korea

4 Department of Biomedical Sciences, Graduate School of Medicine, Ajou University, Suwon, Gyeonggi-do, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Dukyong Yoon, MD, PhD
  • Department of Biomedical Informatics
  • School of Medicine
  • Ajou University
  • World cup-ro 206, Yeongtong-gu
  • Suwon, Gyeonggi-do, 16499
  • Republic of Korea
  • Phone: 82 031-219-4476
  • Email: yoon8302@gmail.com