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Natural Language Processing for Information Extraction of Gastric Diseases and Its Application in Large-Scale Clinical Research
Background and Aims: The utility of clinical information from esophagogastroduodenoscopy (EGD) reports has been limited because of its unstructured narrative format. We developed a natural language processing (NLP) pipeline that automatically extracts information about gastric diseases from unstruct...
Autores principales: | Song, Gyuseon, Chung, Su Jin, Seo, Ji Yeon, Yang, Sun Young, Jin, Eun Hyo, Chung, Goh Eun, Shim, Sung Ryul, Sa, Soonok, Hong, Moongi Simon, Kim, Kang Hyun, Jang, Eunchan, Lee, Chae Won, Bae, Jung Ho, Han, Hyun Wook |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9181010/ https://www.ncbi.nlm.nih.gov/pubmed/35683353 http://dx.doi.org/10.3390/jcm11112967 |
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