Towards Automatic Medical Report Classification in Czech
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F23%3A43970159" target="_blank" >RIV/49777513:23520/23:43970159 - isvavai.cz</a>
Result on the web
<a href="https://www.scitepress.org/PublishedPapers/2023/116419/" target="_blank" >https://www.scitepress.org/PublishedPapers/2023/116419/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5220/0011641900003393" target="_blank" >10.5220/0011641900003393</a>
Alternative languages
Result language
angličtina
Original language name
Towards Automatic Medical Report Classification in Czech
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 15th International Conference on Agents and Artificial Intelligence - (Volume 3)
ISBN
978-989-758-623-1
ISSN
2184-433X
e-ISSN
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Number of pages
6
Pages from-to
228-233
Publisher name
ScitePress
Place of publication
Setúbal
Event location
Lisabon
Event date
Feb 22, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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