Assessing the Performance of Clinical Natural Language Processing Systems: Development of an Evaluation Methodology

BACKGROUND: Clinical natural language processing (cNLP) systems are of crucial importance due to their increasing capability in extracting clinically important information from free text contained in electronic health records (EHRs). The conversion of a nonstructured representation of a patient’s cl...

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Detalles Bibliográficos
Autores principales: Canales, Lea, Menke, Sebastian, Marchesseau, Stephanie, D’Agostino, Ariel, del Rio-Bermudez, Carlos, Taberna, Miren, Tello, Jorge
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8367121/
https://www.ncbi.nlm.nih.gov/pubmed/34297002
http://dx.doi.org/10.2196/20492

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8367121/
https://www.ncbi.nlm.nih.gov/pubmed/34297002
http://dx.doi.org/10.2196/20492

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