COVID-19 TestNorm: A tool to normalize COVID-19 testing names to LOINC codes

Large observational data networks that leverage routine clinical practice data in electronic health records (EHRs) are critical resources for research on coronavirus disease 2019 (COVID-19). Data normalization is a key challenge for the secondary use of EHRs for COVID-19 research across institutions...

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Detalles Bibliográficos
Autores principales: Dong, Xiao, Li, Jianfu, Soysal, Ekin, Bian, Jiang, DuVall, Scott L, Hanchrow, Elizabeth, Liu, Hongfang, Lynch, Kristine E, Matheny, Michael, Natarajan, Karthik, Ohno-Machado, Lucila, Pakhomov, Serguei, Reeves, Ruth Madeleine, Sitapati, Amy M, Abhyankar, Swapna, Cullen, Theresa, Deckard, Jami, Jiang, Xiaoqian, Murphy, Robert, Xu, Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Brief Communications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7337837/
https://www.ncbi.nlm.nih.gov/pubmed/32569358
http://dx.doi.org/10.1093/jamia/ocaa145

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7337837/
https://www.ncbi.nlm.nih.gov/pubmed/32569358
http://dx.doi.org/10.1093/jamia/ocaa145

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