Developing a Standardization Algorithm for Categorical Laboratory Tests for Clinical Big Data Research: Retrospective Study

BACKGROUND: Data standardization is essential in electronic health records (EHRs) for both clinical practice and retrospective research. However, it is still not easy to standardize EHR data because of nonidentical duplicates, typographical errors, or inconsistencies. To overcome this drawback, stan...

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Detalles Bibliográficos
Autores principales: Kim, Mina, Shin, Soo-Yong, Kang, Mira, Yi, Byoung-Kee, Chang, Dong Kyung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2019
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6740165/
https://www.ncbi.nlm.nih.gov/pubmed/31469075
http://dx.doi.org/10.2196/14083

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6740165/
https://www.ncbi.nlm.nih.gov/pubmed/31469075
http://dx.doi.org/10.2196/14083

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