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....

Descripción completa

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

Ejemplares similares

Ejemplares similares