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Knowledge discovery for the treatment of bacteria affecting the liver
Date
2011-10-01
Author
Yildirim, Pinar
ÇEKEN, KAĞAN
Saka, Osman
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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Aim: Biomedical information is buried in millions of published articles, and so it is necessary to use text mining techniques to skim published articles for relevant information. In this study, we used biomedical text mining techniques to introduce a liver bacterial infection knowledge-acquisition information system.
Subject Keywords
Liver
,
Bacteria
,
Knowledge discovery
,
Biomedical text mining
URI
https://hdl.handle.net/11511/66346
Journal
TURKISH JOURNAL OF MEDICAL SCIENCES
DOI
https://doi.org/10.3906/sag-1008-1087
Collections
Graduate School of Informatics, Article
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P. Yildirim, K. ÇEKEN, and O. Saka, “Knowledge discovery for the treatment of bacteria affecting the liver,”
TURKISH JOURNAL OF MEDICAL SCIENCES
, pp. 867–875, 2011, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/66346.