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

Clinical Informatics (1045) Natural Language Processing (704) Big Data (241)

Published on in Vol 21, No 1 (2019): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10013, first published .
Application of Efficient Data Cleaning Using Text Clustering for Semistructured Medical Reports to Large-Scale Stool Examination Reports: Methodology Study

Application of Efficient Data Cleaning Using Text Clustering for Semistructured Medical Reports to Large-Scale Stool Examination Reports: Methodology Study

Application of Efficient Data Cleaning Using Text Clustering for Semistructured Medical Reports to Large-Scale Stool Examination Reports: Methodology Study

Authors of this article:

Hyunki Woo1 Author Orcid Image ;   Kyunga Kim1, 2 Author Orcid Image ;   KyeongMin Cha1 Author Orcid Image ;   Jin-Young Lee3 Author Orcid Image ;   Hansong Mun3 Author Orcid Image ;   Soo Jin Cho3 Author Orcid Image ;   Ji In Chung3 Author Orcid Image ;   Jeung Hui Pyo3 Author Orcid Image ;   Kun-Chul Lee4 Author Orcid Image ;   Mira Kang1, 3 Author Orcid Image
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