Cargando…
Extracting Structured Genotype Information from Free-Text HLA Reports Using a Rule-Based Approach
BACKGROUND: Human leukocyte antigen (HLA) typing is important for transplant patients to prevent a severe mismatch reaction, and the result can also support the diagnosis of various disease or prediction of drug side effects. However, such secondary applications of HLA typing results are limited bec...
Autores principales: | Lee, Kye Hwa, Kim, Hyo Jung, Kim, Yi-Jun, Kim, Ju Han, Song, Eun Young |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Academy of Medical Sciences
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7105511/ https://www.ncbi.nlm.nih.gov/pubmed/32233158 http://dx.doi.org/10.3346/jkms.2020.35.e78 |
Ejemplares similares
-
Reducing severe cutaneous adverse and type B adverse drug reactions using pre‐stored human leukocyte antigen genotypes
por: Lee, Kye Hwa, et al.
Publicado: (2022) -
SAS text analytics for business applications: concept rules for information extraction models
por: Jade, Teresa, et al.
Publicado: (2019) -
Extracting information from free-text electronic patient records to identify practice-based evidence of the performance of coronary stents
por: Kim, Yoon Seob, et al.
Publicado: (2017) -
Genotype List String: a grammar for describing HLA and KIR genotyping results in a text string
por: Milius, R P, et al.
Publicado: (2013) -
Extracting body function information using rule-based methods: Highlighting structure and formatting challenges in clinical text
por: Divita, Guy, et al.
Publicado: (2022)