• DocumentCode
    2042904
  • Title

    Application of artificial neural networks for the prediction of quality of life in breast cancer patients

  • Author

    Shi, Hon-Yi ; Tsai, Jinn-Tsong ; Ho, Wen-Hsien ; Hou, Ming-Feng

  • Author_Institution
    Grad. Inst. of Healthcare Adm., Kaohsiung Med. Univ., Kaohsiung, Taiwan
  • fYear
    2011
  • fDate
    13-18 Sept. 2011
  • Firstpage
    225
  • Lastpage
    228
  • Abstract
    By Residual Analysis, the patient characteristics, characteristics of medical institutions, and quality of medical care can be used on prediction of health - related quality of life at different time points. Artificial neural network (ANN) and multiple regressions are used on the different fields, and they have their own advantages. If the doctors would like to know Health-Related Quality of Life of patients, they could use ANN to be a major method and regression to be a secondary method. Although ANN could deal with nonlinear data, there are little studies about quality of life prediction by this method. Therefore, researchers could use the Data Mining to do systemic discussion in the future.
  • Keywords
    cancer; data mining; health care; neural nets; patient care; regression analysis; ANN; artificial neural networks; breast cancer patients; data mining; health related quality of life; medical care; quality of life; regression analysis; residual analysis; Artificial neural networks; Cancer; Medical diagnostic imaging; Predictive models; Surgery; Training; Artificial Neural Networks; Breast Cancer; Global Sensitivity Analysis; Health-Related Quality of Life; Multiple Linear Regression; Residual Analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE Annual Conference (SICE), 2011 Proceedings of
  • Conference_Location
    Tokyo
  • ISSN
    pending
  • Print_ISBN
    978-1-4577-0714-8
  • Type

    conf

  • Filename
    6060607