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

Statistical Methods for Surveillance and Population Health (158) Electronic Health Records (1068) Artificial Intelligence (1421) Machine Learning (1501) Personal Health Records, Patient-Accessible Electronic Health Records, Patient Portals (591) Clinical Information and Decision Making (1434) Innovative Methods in Public Health and Surveillance (336)

Published on in Vol 7, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30824, first published .
Self–Training With Quantile Errors for Multivariate Missing Data Imputation for Regression Problems in Electronic Medical Records: Algorithm Development Study

Self–Training With Quantile Errors for Multivariate Missing Data Imputation for Regression Problems in Electronic Medical Records: Algorithm Development Study

Self–Training With Quantile Errors for Multivariate Missing Data Imputation for Regression Problems in Electronic Medical Records: Algorithm Development Study

Authors of this article:

Hansle Gwon1, 2 Author Orcid Image ;   Imjin Ahn1, 2 Author Orcid Image ;   Yunha Kim1, 2 Author Orcid Image ;   Hee Jun Kang3 Author Orcid Image ;   Hyeram Seo1, 2 Author Orcid Image ;   Ha Na Cho3 Author Orcid Image ;   Heejung Choi1, 2 Author Orcid Image ;   Tae Joon Jun4 Author Orcid Image ;   Young-Hak Kim3 Author Orcid Image
Article Authors Cited by (5) Tweetations (2) Metrics

Hansle Gwon   1, 2 , BSc ;   Imjin Ahn   1, 2 , BSc ;   Yunha Kim   1, 2 , BSc ;   Hee Jun Kang   3 , MSc ;   Hyeram Seo   1, 2 , BSc ;   Ha Na Cho   3 , MSc ;   Heejung Choi   1, 2 , BSc ;   Tae Joon Jun   4 * , PhD ;   Young-Hak Kim   3 * , MD, PhD

1 Department of Medical Science, Asan Medical Institute of Convergence Science and Technology, Seoul, Republic of Korea

2 Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea

3 Division of Cardiology, Department of Internal Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea

4 Big Data Research Center, Asan Institute for Life Sciences, Asan Medical Center, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Young-Hak Kim, MD, PhD
  • Division of Cardiology, Department of Internal Medicine
  • Asan Medical Center
  • University of Ulsan College of Medicine
  • 88, Olympic-ro 43-gil, Songpa-gu
  • Seoul, 05505
  • Republic of Korea
  • Phone: 82 2-3010-0955
  • Email: mdyhkim@amc.seoul.kr