Understanding Health Records in West Slavic Languages: Available Resources, Case Study in Oncology

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Authors

ANETTA Krištof

Year of publication 2023
Type Article in Proceedings
Conference Healthcare Transformation with Informatics and Artificial Intelligence
MU Faculty or unit

Faculty of Informatics

Citation
Doi http://dx.doi.org/10.3233/SHTI230433
Keywords electronic health records; West Slavic languages; Czech; Polish; Slovak; UMLS; knowledge extraction; natural language processing
Attached files
Description Currently, there is very little research aimed at developing medical knowledge extraction tools for major West Slavic languages (Czech, Polish, and Slovak). This project lays the groundwork for a general medical knowledge extraction pipeline, introducing the resource vocabularies available for the respective languages (UMLS resources, ICD-10 translations and national drug databases). It demonstrates the utility of this approach on a case study using a large proprietary corpus of Czech oncology records consisting of more than 40 million words written about more than 4,000 patients. After correlating MedDRA terms found in patients' records with drugs prescribed to them, significant non-obvious associations were found between selected medical conditions being mentioned and the probability of certain drugs being prescribed over the course of the patient's treatment, in some cases increasing the probability of prescriptions by over 250%. This direction of research, producing large amounts of annotated data, is a prerequisite for training deep learning models and predictive systems.
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