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

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

Abstract 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 cha...

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Bibliographic Details
Main Authors: Guillermo Argüello-González, José Aquino-Esperanza, Daniel Salvador, Rosa Bretón-Romero, Carlos Del Río-Bermudez, Jorge Tello, Sebastian Menke
Format: Article
Language:English
Published: BMC 2023-10-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Negation
NegEx
CNN
Electronic health records
Clinical Natural Language Processing
Online Access:https://doi.org/10.1186/s12911-023-02301-5

Internet

https://doi.org/10.1186/s12911-023-02301-5

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