Normalizing Clinical Document Titles to LOINC Document Ontology: an Initial Study.

Zuo, Xu; Li, Jianfu; Zhao, Bo; Zhou, Yujia; Dong, Xiao; Duke, Jon; Natarajan, Karthik; Hripcsak, George; Shah, Nigam; Banda, Juan M; Reeves, Ruth; Miller, Timothy; Xu, Hua

Zuo, Xu; Li, Jianfu; Zhao, Bo; Zhou, Yujia; Dong, Xiao; Duke, Jon; Natarajan, Karthik; Hripcsak, George; Shah, Nigam; Banda, Juan M; Reeves, Ruth; Miller, Timothy; Xu, Hua.

Afiliação

Zuo X; School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Li J; School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Zhao B; School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Zhou Y; School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Dong X; School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Duke J; Georgia Institute of Technology, Atlanta, GA, USA.
Natarajan K; OHDSI Consortium, Natural Language Processing Working Group.
Hripcsak G; Columbia University, New York City, NY, USA.
Shah N; OHDSI Consortium, Natural Language Processing Working Group.
Banda JM; Columbia University, New York City, NY, USA.
Reeves R; OHDSI Consortium, Natural Language Processing Working Group.
Miller T; Stanford University, Stanford, CA, USA.
Xu H; OHDSI Consortium, Natural Language Processing Working Group.

AMIA Annu Symp Proc ; 2020: 1441-1450, 2020.

Article em En | MEDLINE | ID: mdl-33936520

Assuntos

Logical Observation Identifiers Names and Codes

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Logical Observation Identifiers Names and Codes Tipo de estudo: Guideline / Prognostic_studies Idioma: En Revista: AMIA Annu Symp Proc Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Estados Unidos

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