• DocumentCode
    1910796
  • Title

    Biomedical Hot Points Discovering with Data Mining Approach

  • Author

    Dan Xu ; Fei Zhu

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Soochow Univ., Suzhou, China
  • fYear
    2012
  • fDate
    14-16 Dec. 2012
  • Firstpage
    279
  • Lastpage
    281
  • Abstract
    PubMed can retrieval biomedical literatures and get the number of publications. It can´t help us analyze the trends and the relationships among the data we got. Our research is finding out keywords from 2007 to 2011 in biomedicine and then analyzing them. Here we list 33 keywords and get their numbers. Then we used trendlines in Excel to observe the trends of the keywords so that we can divide all of them into five types, which can stand for the whole fields in a way and help researchers study well.
  • Keywords
    data mining; information retrieval; medical information systems; Excel trendlines; PubMed; biomedical hot points; biomedical literature retrieval; biomedicine; data mining; keyword; Biomedicine; E-utilities; Keyword; PubMed; Trend;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ISISE), 2012 International Symposium on
  • Conference_Location
    Shanghai
  • ISSN
    2160-1283
  • Print_ISBN
    978-1-4673-5680-0
  • Type

    conf

  • DOI
    10.1109/ISISE.2012.70
  • Filename
    6495346
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1910796