Journal of Shanghai Jiaotong University (Science)

, Volume 17, Issue 4, pp 494–499

Web-based biomedical literature mining

  • Jian-fu An (安建福)
  • Hui-ping Xue (薛惠平)
  • ying Chen (陈 瑛)
  • Jian-guo Wu (吴建国)
  • Lu Zhang (章 鲁)
Article
  • 83 Downloads

Abstract

With an upsurge in biomedical literature, using data-mining method to search new knowledge from literature has drawing more attention of scholars. In this study, taking the mining of non-coding gene literature from the network database of PubMed as an example, we first preprocessed the abstract data, next applied the term occurrence frequency (TF) and inverse document frequency (IDF) (TF-IDF) method to select features, and then established a biomedical literature data-mining model based on Bayesian algorithm. Finally, we assessed the model through area under the receiver operating characteristic curve (AUC), accuracy, specificity, sensitivity, precision rate and recall rate. When 1 000 features are selected, AUC, specificity, sensitivity, accuracy rate, precision rate and recall rate are 0.868 3, 84.63%, 89.02%, 86.83%, 89.02% and 98.14%, respectively. These results indicate that our method can identify the targeted literature related to a particular topic effectively.

Key words

Bayesian algorithm term occurrence frequency (TF) and inverse document frequency (IDF) (TFIDF) data-mining 

CLC number

TP 182 Q 31 

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Copyright information

© Shanghai Jiaotong University and Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Jian-fu An (安建福)
    • 1
    • 4
  • Hui-ping Xue (薛惠平)
    • 2
  • ying Chen (陈 瑛)
    • 1
  • Jian-guo Wu (吴建国)
    • 3
  • Lu Zhang (章 鲁)
    • 1
  1. 1.Department of Biomedical Engineering, Basic Medical CollegeShanghai Jiaotong University School of MedicineShanghaiChina
  2. 2.Division of Gastroenterology and Hepatology, Renji HospitalShanghai Jiaotong University School of MedicineShanghaiChina
  3. 3.Department of Nuclear Medicine, Renji HospitalShanghai Jiaotong University School of MedicineShanghaiChina
  4. 4.Information and Resource CenterShanghai Jiaotong University School of MedicineShanghaiChina

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