Diagnosis Classification in the Emergency Room Using Natural Language Processing
Publication date
2023-05-18
Authors
van Buchem, Marieke M.
't Hart, H.
Mosteiro Romero, Pablo
Kant, Ilse M.J.
Bauer, Martijn P.
Editors
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Supervisors
Document Type
Part of book
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cc_by_nc
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.
Keywords
Natural language processing, diagnosis classification, emergency medicine
Citation
van Buchem, M M, 't Hart, H, Mosteiro Romero, P, Kant, I M J & Bauer, M P 2023, Diagnosis Classification in the Emergency Room Using Natural Language Processing. in Caring is Sharing – Exploiting the Value in Data for Health and Innovation. Studies in Health Technology and Informatics, vol. 302, IOS Press, Netherlands, pp. 815 - 816. https://doi.org/10.3233/SHTI230273