Classification of Syncope Cases in Norwegian Medical Records

Ildiko Pilan, Pål H. Brekke, Fredrik A. Dahl, Tore Gundersen, Haldor Husby, Øystein Nytrø, Lilja Øvrelid


Abstract
Loss of consciousness, so-called syncope, is a commonly occurring symptom associated with worse prognosis for a number of heart-related diseases. We present a comparison of methods for a diagnosis classification task in Norwegian clinical notes, targeting syncope, i.e. fainting cases. We find that an often neglected baseline with keyword matching constitutes a rather strong basis, but more advanced methods do offer some improvement in classification performance, especially a convolutional neural network model. The developed pipeline is planned to be used for quantifying unregistered syncope cases in Norway.
Anthology ID:
2020.clinicalnlp-1.9
Volume:
Proceedings of the 3rd Clinical Natural Language Processing Workshop
Month:
November
Year:
2020
Address:
Online
Venues:
ClinicalNLP | EMNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
79–84
Language:
URL:
https://www.aclweb.org/anthology/2020.clinicalnlp-1.9
DOI:
10.18653/v1/2020.clinicalnlp-1.9
Bib Export formats:
BibTeX MODS XML EndNote
PDF:
http://aclanthology.lst.uni-saarland.de/2020.clinicalnlp-1.9.pdf