• DocumentCode
    3149816
  • Title

    Forewarning assessment of psychological crisis in post-disaster based on principal component analysis and neural network

  • Author

    Shan, Wei ; Zhou, Qin ; Pan, Yichao ; Tong, Hengqing

  • Author_Institution
    Sch. of Sci., Univ. of Jinan, Jinan, China
  • Volume
    2
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    903
  • Lastpage
    906
  • Abstract
    This article addresses psychological characteristics, performance of victims and the impact factors of individual psychological crisis responses after a major disaster, and set forth the significance of applying psychological crisis forewarning evaluation in the post-disaster reconstruction. The established psychological crisis forewarning index system is in conformity with the principles of sensitivity, comprehensiveness, systematization, predictability, practicality and so on. This article constructs the model for forewarning assessment of psychological crisis in post-disaster based on principal component analysis and neural network. It can provide a quicker and more efficient prediction and management way to alleviate and decrease psychological crisis of the victims.
  • Keywords
    disasters; neural nets; principal component analysis; psychology; comprehensiveness; forewarning assessment; neural network; post disaster; post-disaster reconstruction; practicality; predictability; principal component analysis; psychological crisis; sensitivity; systematization; Analytical models; Artificial neural networks; Indexes; Mathematical model; Neurons; Principal component analysis; Psychology; Neural Network; Principal Component Analysis; Psychological Crisis; Psychological Crisis Forewarning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Engineering and Informatics (BMEI), 2010 3rd International Conference on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6495-1
  • Type

    conf

  • DOI
    10.1109/BMEI.2010.5639883
  • Filename
    5639883