Understanding Health Records in West Slavic Languages: Available Resources, Case Study in Oncology
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F23%3A00131436" target="_blank" >RIV/00216224:14330/23:00131436 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.3233/SHTI230433" target="_blank" >http://dx.doi.org/10.3233/SHTI230433</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3233/SHTI230433" target="_blank" >10.3233/SHTI230433</a>
Alternative languages
Result language
angličtina
Original language name
Understanding Health Records in West Slavic Languages: Available Resources, Case Study in Oncology
Original language 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.
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
Healthcare Transformation with Informatics and Artificial Intelligence
ISBN
9781643684000
ISSN
0926-9630
e-ISSN
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Number of pages
5
Pages from-to
97-101
Publisher name
IOS Press
Place of publication
Amsterdam
Event location
Amsterdam
Event date
Jan 1, 2023
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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