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Knowledge discovery for the treatment of bacteria affecting the liver

Yildirim, Pinar
Saka, Osman
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.