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

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  9. Ahmmed S, Mondal M, Mia M, Adibuzzaman M, Hoque A, Ahamed S. A novel approach for standardizing clinical laboratory categorical test results using machine learning and string distance similarity. Heliyon 2023;9(11):e21523 View