• DocumentCode
    166159
  • Title

    Use of soft computing techniques in medical decision making: A survey

  • Author

    Bhatia, Abhishek ; Mago, Vijay ; Singh, Rajdeep

  • Author_Institution
    Punjab Tech. Univ., Kapurthala, India
  • fYear
    2014
  • fDate
    24-27 Sept. 2014
  • Firstpage
    1131
  • Lastpage
    1137
  • Abstract
    Health care practitioners need to diagnose a disease and make a decision about the treatments. This has been one of the most challenging tasks for them. During the last two decades, researchers from computer science, mathematics, and medical sciences have been developing intelligent tools for supporting medical decision making. Various soft computing based systems have been successfully developed and used by healthcare professionals. In this paper, we briefly introduces the strengths of the soft computing and demonstrate the possibilities of applying these techniques to diagnosis and decision making. This review paper also identifies the more proficient techniques used in medical domain.
  • Keywords
    decision making; diseases; fuzzy logic; health care; medical diagnostic computing; neural nets; disease diagnosis; health care practitioners; intelligent tools; medical decision making; soft computing techniques; Artificial neural networks; Decision making; Fuzzy logic; Mathematical model; Medical diagnostic imaging; Neurons; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Computing, Communications and Informatics (ICACCI, 2014 International Conference on
  • Conference_Location
    New Delhi
  • Print_ISBN
    978-1-4799-3078-4
  • Type

    conf

  • DOI
    10.1109/ICACCI.2014.6968460
  • Filename
    6968460