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

Tools, Programs and Algorithms (236) Data Science (223) Big Data (215) Electronic Health Records (961)

Published on in Vol 7, No 3 (2019): Jul-Sep

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14083, first published .
Developing a Standardization Algorithm for Categorical Laboratory Tests for Clinical Big Data Research: Retrospective Study

Developing a Standardization Algorithm for Categorical Laboratory Tests for Clinical Big Data Research: Retrospective Study

Developing a Standardization Algorithm for Categorical Laboratory Tests for Clinical Big Data Research: Retrospective Study

Authors of this article:

Mina Kim1, 2 Author Orcid Image ;   Soo-Yong Shin1, 2 Author Orcid Image ;   Mira Kang1, 2, 3 Author Orcid Image ;   Byoung-Kee Yi1, 4 Author Orcid Image ;   Dong Kyung Chang1, 2, 5 Author Orcid Image
Article Authors Cited by (9) Tweetations (2) Metrics

Mina Kim   1, 2 * , RN, MS ;   Soo-Yong Shin   1, 2 * , PhD ;   Mira Kang   1, 2, 3 , MD, PhD ;   Byoung-Kee Yi   1, 4 , PhD ;   Dong Kyung Chang   1, 2, 5 , MD, PhD

1 Department of Digital Health, Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, Republic of Korea

2 Health Information and Strategy Center, Samsung Medical Center, Seoul, Republic of Korea

3 Center for Health Promotion, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea

4 Smart Healthcare & Device Research Center, Samsung Medical Center, Seoul, Republic of Korea

5 Division of Gastroenterology, Department of Internal Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Dong Kyung Chang, MD, PhD
  • Department of Digital Health
  • Samsung Advanced Institute for Health Sciences & Technology
  • Sungkyunkwan University
  • Samsung Medical Center
  • Sungkyunkwan University School of Natural Sciences Campus
  • Seoul, 2066 16419
  • Republic of Korea
  • Phone: 82 10-9933-0266
  • Email: do.chang@samsung.com