• DocumentCode
    1909024
  • Title

    Feature Definition Using Dependency Relations between Terms for Improving Nursing-care Text Classification

  • Author

    Nii, Manabu ; Hirohata, Y. ; Uchinuno, Atsuko ; Sakashita, Reiko

  • Author_Institution
    Grad. Sch. of Eng., Univ. of Hyogo, Himeji, Japan
  • fYear
    2012
  • fDate
    5-7 Nov. 2012
  • Firstpage
    110
  • Lastpage
    115
  • Abstract
    In order to improve the nursing-care quality, a"Web based Nursing-care Quality Improvement System" have been proposed and operating continuously. In the proposed system, for evaluating actual nursing-care process, freestyle Japanese texts which are called "nursing-care texts" are collected through the Internet in Japan. The nursing-care experts can evaluate actual nursing-care process and recommend some improvements to nurses by reading the collected nursing-care texts carefully. Since the number of nursing-care experts who can evaluate the nursing-care texts is a few, it is hard to do the above mentioned evaluation process for a large number of nurses. To assist nursing-care experts in evaluating the nursing-care texts, a computer aided nursing-care text classification system has been developed. In this paper, we propose a method to improve the classification performance of the computer aided nursing-care text classification system. Dependency relation between terms is extracted from the nursing-care text and used the dependency as a feature value which represents characteristics of the nursing-care text.
  • Keywords
    Internet; medical computing; patient care; text analysis; Internet; Web based nursing-care quality improvement system; computer aided text classification system; dependency relations; feature definition; freestyle Japanese texts; nursing-care experts; nursing-care process evaluation; Nursing-care; SVM; dependency relation; text classification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Trends in Engineering and Technology (ICETET), 2012 Fifth International Conference on
  • Conference_Location
    Himeji
  • ISSN
    2157-0477
  • Print_ISBN
    978-1-4799-0276-7
  • Type

    conf

  • DOI
    10.1109/ICETET.2012.68
  • Filename
    6495268