Atıf İçin Kopyala
Yildirim P., ÇEKEN K., Saka O.
TURKISH JOURNAL OF MEDICAL SCIENCES, cilt.41, sa.5, ss.867-875, 2011 (SCI-Expanded)
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Yayın Türü:
Makale / Tam Makale
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Cilt numarası:
41
Sayı:
5
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Basım Tarihi:
2011
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Doi Numarası:
10.3906/sag-1008-1087
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Dergi Adı:
TURKISH JOURNAL OF MEDICAL SCIENCES
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Derginin Tarandığı İndeksler:
Science Citation Index Expanded (SCI-EXPANDED), Scopus, TR DİZİN (ULAKBİM)
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Sayfa Sayıları:
ss.867-875
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Anahtar Kelimeler:
Biomedical text mining, knowledge discovery, bacteria, liver, MYCOBACTERIUM-TUBERCULOSIS, STAPHYLOCOCCUS-AUREUS, RESISTANCE, TYPHIMURIUM
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Akdeniz Üniversitesi Adresli:
Evet
Özet
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.