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

BackgroundClinical 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 representa...

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Bibliographic Details
Main Authors: Lea Canales, Sebastian Menke, Stephanie Marchesseau, Ariel D’Agostino, Carlos del Rio-Bermudez, Miren Taberna, Jorge Tello
Format: Article
Language:English
Published: JMIR Publications 2021-07-01
Series:JMIR Medical Informatics
Online Access:https://medinform.jmir.org/2021/7/e20492