• DocumentCode
    2736985
  • Title

    Poster: Risk prediction for post-operative adverse outcomes in colorectal cancer surgery

  • Author

    Agrawal, Ankit ; Misra, Sanchit ; Choudhary, Alok ; Bilimoria, Karl

  • Author_Institution
    Dept. of EECS, Northwestern Univ., Evanston, IL, USA
  • fYear
    2011
  • fDate
    3-5 Feb. 2011
  • Firstpage
    232
  • Lastpage
    232
  • Abstract
    We analyze the ACS NSQIP data for developing accurate risk prediction models for post-operative adverse outcomes in colorectal cancer surgery using data mining techniques. Preliminary experimentation reveals interesting and promising findings.
  • Keywords
    cancer; data mining; medical computing; risk management; surgery; ACS NSQIP data; colorectal cancer surgery; data mining; post-operative adverse outcomes; risk prediction; Calculators; Cancer; Data mining; Data models; Predictive models; Risk management; Surgery; colorectal cancer; data mining; morbidity; mortality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Advances in Bio and Medical Sciences (ICCABS), 2011 IEEE 1st International Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    978-1-61284-851-8
  • Type

    conf

  • DOI
    10.1109/ICCABS.2011.5729886
  • Filename
    5729886
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2736985