Towards Automatic Medical Report Classification in Czech

Pavel Přibáň, Josef Baloun, Jiří Martínek, Ladislav Lenc, Martin Prantl, Pavel Král

2023

Abstract

This paper deals with the automatic classification of medical reports in the form of unstructured texts in Czech. The outcomes of this work are intended to be integrated into a coding assistant, a system that will help the clinical coders with the manual coding of the diagnoses. To solve this task, we compare several approaches based on deep neural networks. We compare the models in two different scenarios to show their advantages and drawbacks. The results demonstrate that hierarchical GRU with attention outperforms all other models in both cases. The experiments further show that the system can significantly reduce the workload of the operators and thus also saves time and money. To the best of our knowledge, this is the first attempt at automatic medical report classification in the Czech language.

Paper Citation

in Harvard Style

Přibáň P., Baloun J., Martínek J., Lenc L., Prantl M. and Král P. (2023). Towards Automatic Medical Report Classification in Czech. In Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART, ISBN 978-989-758-623-1, pages 228-233. DOI: 10.5220/0011641900003393

in Bibtex Style

@conference{icaart23,
author={Pavel Přibáň and Josef Baloun and Jiří Martínek and Ladislav Lenc and Martin Prantl and Pavel Král},
title={Towards Automatic Medical Report Classification in Czech},
booktitle={Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART,},
year={2023},
pages={228-233},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011641900003393},
isbn={978-989-758-623-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART,
TI - Towards Automatic Medical Report Classification in Czech
SN - 978-989-758-623-1
AU - Přibáň P.
AU - Baloun J.
AU - Martínek J.
AU - Lenc L.
AU - Prantl M.
AU - Král P.
PY - 2023
SP - 228
EP - 233
DO - 10.5220/0011641900003393