Characterizing database granularity using SNOMED-CT hierarchy

Multi-center observational studies require recognition and reconciliation of differences in patient representations arising from underlying populations, disparate coding practices and specifics of data capture. This leads to different granularity or detail of concepts representing the clinical facts...

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Опубликовано в: :AMIA Annu Symp Proc
Главные авторы: Ostropolets, Anna, Reich, Christian, Ryan, Patrick, Weng, Chunhua, Molinaro, Anthony, DeFalco, Frank, Jonnagaddala, Jitendra, Liaw, Siaw-Teng, Jeon, Hokyun, Park, Rae Woong, Spotnitz, Matthew E., Natarajan, Karthik, Argyriou, George, Kostka, Kristin, Miller, Robert, Williams, Andrew, Minty, Evan, Posada, Jose, Hripcsak, George
Формат: Artigo
Язык:Inglês
Опубликовано: American Medical Informatics Association 2021
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Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC8075504/
https://ncbi.nlm.nih.gov/pubmed/33936474
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