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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
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 |
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