Diagnosis Classification in the Emergency Room Using Natural Language Processing

Studies in health technology and informatics, vol. 302, pp. 815–816

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.

Authors 5

1. Marieke Meija van Buchem Aachen

   Leiden University Medical Center

   Affiliation as printed

   Leiden University Medical Center, Leiden, The Netherlands

2. Hanna H. ‘t Hart Aachen

   Utrecht University · Leiden University Medical Center

   Affiliation as printed

   Leiden University Medical Center, Leiden, The Netherlands

   University of Utrecht, Utrecht, The Netherlands

3. Pablo J. Mosteiro

   Utrecht University

   Affiliation as printed

   University of Utrecht, Utrecht, The Netherlands

4. Ilse M.J. Kant Aachen

   Leiden University Medical Center

   Affiliation as printed

   Leiden University Medical Center, Leiden, The Netherlands

5. Martijn P. Bauer Aachen

   Leiden University Medical Center

   Affiliation as printed

   Leiden University Medical Center, Leiden, The Netherlands