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

Machine Learning (1465) Electronic Health Records (1053) Natural Language Processing (693) Decision Support for Health Professionals (1186) Clinical Informatics (1022)

Published on in Vol 9, No 8 (2021): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29331, first published .
A Deep Neural Network for Estimating Low-Density Lipoprotein Cholesterol From Electronic Health Records: Real-Time Routine Clinical Application

A Deep Neural Network for Estimating Low-Density Lipoprotein Cholesterol From Electronic Health Records: Real-Time Routine Clinical Application

A Deep Neural Network for Estimating Low-Density Lipoprotein Cholesterol From Electronic Health Records: Real-Time Routine Clinical Application

Authors of this article:

Sangwon Hwang1 Author Orcid Image ;   Chanwoo Gwon2 Author Orcid Image ;   Dong Min Seo3 Author Orcid Image ;   Jooyoung Cho4 Author Orcid Image ;   Jang-Young Kim5 Author Orcid Image ;   Young Uh4 Author Orcid Image
Article Authors Cited by (7) Tweetations (2) Metrics

Sangwon Hwang   1 , PhD ;   Chanwoo Gwon   2 , MS ;   Dong Min Seo   3 , BS ;   Jooyoung Cho   4 , MD, PhD ;   Jang-Young Kim   5 , MD, PhD ;   Young Uh   4 , MD, PhD

1 Artificial Intelligence Bigdata Medical Center, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea

2 Wonju Industry-Academic Cooperation Foundation, Yonsei University Mirae Campus, Wonju, Republic of Korea

3 Department of Medical Information, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea

4 Department of Laboratory Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea

5 Department of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea

Corresponding Author:

  • Young Uh, MD, PhD
  • Department of Laboratory Medicine
  • Yonsei University Wonju College of Medicine
  • 20, Ilsan- ro, Wonju, Gangwon-do
  • Wonju, 26426
  • Republic of Korea
  • Phone: 82 33-741-1592
  • Fax: 82 33-731-0506
  • Email: u931018@yonsei.ac.kr