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Diagnosis Classification in the Emergency Room Using Natural Language Processing
Marieke M. van Buchem, Hanna H. ‘t Hart, Pablo J. Mosteiro, Ilse M.J. Kant, Martijn P. Bauer
815 - 816
10.3233/SHTI230273
Research Article
Studies in Health Technology and Informatics
Volume 302: Caring is Sharing – Exploiting the Value in Data for Health and Innovation
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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