Diagnosis Classification in the Emergency Room Using Natural Language Processing

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Diagnosis Classification in the Emergency Room Using Natural Language Processing
 
van Buchem, Marieke M.; 't Hart, H.; Mosteiro Romero, Pablo; Kant, Ilse M.J.; Bauer, Martijn P.
(2023)
Caring is Sharing – Exploiting the Value in Data for Health and Innovation, volume 302, pp. 815 - 816
Studies in Health Technology and Informatics, volume 302, pp. 815 - 816
(Part of book)
Abstract
Diagnosis classification in the emergency room (ER) is a complex task. We developed several natural language processing classification models, looking both at the full classification task of 132 diagnostic categories and at several clinically applicable samples consisting of two diagnoses that are hard to distinguish.
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Keywords: Natural language processing, diagnosis classification, emergency medicine
DOI: https://doi.org/10.3233/SHTI230273
ISSN: 0926-9630
ISBN: 978-1-64368-388-1
978-1-64368-389-8
Publisher: IOS Press, IOS Press
Note: Publisher Copyright: © 2023 European Federation for Medical Informatics (EFMI) and IOS Press.
(Peer reviewed)
 
 
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