Cargando…
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...
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: | |
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 |
Ejemplares similares
-
A novel approach for standardizing clinical laboratory categorical test results using machine learning and string distance similarity
por: Ahmmed, Syed, et al.
Publicado: (2023) -
A MEDLINE categorization algorithm
por: Darmoni, Stefan J, et al.
Publicado: (2006) -
Development of a categorical naming test in Korean: Standardization and clinical application for patients with stroke
por: Hwang, Yu Mi, et al.
Publicado: (2021) -
Proposed Algorithm with Standard Terminologies (SNOMED and CPT) for Automated Generation of Medical Bills for Laboratory Tests
por: Kim, Shine Young, et al.
Publicado: (2010) -
The role of big laboratories
por: Heuer, Rolf-Dieter
Publicado: (2013)