Negation recognition in clinical natural language processing using a combination of the NegEx algorithm and a convolutional neural network

BACKGROUND: Important clinical information of patients is present in unstructured free-text fields of Electronic Health Records (EHRs). While this information can be extracted using clinical Natural Language Processing (cNLP), the recognition of negation modifiers represents an important challenge....

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Detalles Bibliográficos
Autores principales: Argüello-González, Guillermo, Aquino-Esperanza, José, Salvador, Daniel, Bretón-Romero, Rosa, Del Río-Bermudez, Carlos, Tello, Jorge, Menke, Sebastian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10576331/
https://www.ncbi.nlm.nih.gov/pubmed/37833661
http://dx.doi.org/10.1186/s12911-023-02301-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10576331/
https://www.ncbi.nlm.nih.gov/pubmed/37833661
http://dx.doi.org/10.1186/s12911-023-02301-5

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