Using knowledge graphs for predicting food supplement interactions with drugs – Bc. Markéta Křenková
Bc. Markéta Křenková
Master's thesis
Using knowledge graphs for predicting food supplement interactions with drugs
Using knowledge graphs for predicting food supplement interactions with drugs
Abstract:
Tato práce se zabývá problematikou lékových interakcí, zejména v souvislosti s léčbou rakoviny a současným užíváním farmaceutických léčiv, alternativních léčiv a doplňků stravy. Lékové interakce mohou významně ovlivnit výsledky léčby, a proto je jejich pochopení ve zdravotnictví klíčové. Práce se zaměřuje na využití znalostních grafů (knowledge graphs), oblíbených při modelování složitých biologických …moreAbstract:
This thesis addresses the issue of drug interactions, particularly in the context of cancer treatment and the simultaneous use of pharmaceutical drugs, alternative medicines, and dietary supplements. Drug interactions can significantly impact treatment outcomes, making their understanding crucial in healthcare. The thesis focuses on utilizing knowledge graphs, popular in modeling complex biological …more
Language used: English
Date on which the thesis was submitted / produced: 15. 12. 2023
Identifier:
https://is.muni.cz/th/rm3zk/
Thesis defence
- Date of defence: 13. 2. 2024
- Supervisor: doc. Mgr. Bc. Vít Nováček, PhD
- Reader: Dr. Mohan Timilsina, PhD
Citation record
ISO 690-compliant citation record:
KŘENKOVÁ, Markéta. \textit{Using knowledge graphs for predicting food supplement interactions with drugs}. Online. Master's thesis. Brno: Masaryk University, Faculty of Informatics. 2023. Available from: https://theses.cz/id/lgh64k/.
Full text of thesis
Contents of on-line thesis archive
Published in Theses:- světu
Other ways of accessing the text
Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatikyMasaryk University
Faculty of InformaticsMaster programme / field:
Artificial intelligence and data processing / Machine learning and artificial intelligence
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