• DocumentCode
    3303965
  • Title

    Scenario Analysis for Local Area Life Expectancy Using Conditional Independence Maps

  • Author

    Jarman, I.H. ; Etchells, T.A. ; Perkins, C. ; Bellis, M.A. ; Lisboa, P.J.G.

  • Author_Institution
    Dept. of Math. & Stat., Liverpool John Moores Univ., Liverpool, UK
  • fYear
    2011
  • fDate
    6-8 Dec. 2011
  • Firstpage
    92
  • Lastpage
    97
  • Abstract
    The challenge of sustainable healthcare requires significant changes to the structure of healthcare delivery, with greater emphasis on prevention and pro-active, personalised care. This, in turn, relies for its effectiveness on detailed analysis of the evidence contained in large data bases. This paper describes a powerful and general analytical approach to derive insights from complex health and behavioural data, and to underpin evidence-based scenario analysis for commissioning of clinically efficient and cost effective health interventions.
  • Keywords
    health care; behavioural data; conditional independence map; evidence-based scenario analysis; health data; health intervention; healthcare delivery; local area life expectancy; personalised care; sustainable healthcare; Joints; Local government; Measurement; Pediatrics; Public healthcare; Random variables; Bayesian networks; conditional independence.; mutual information; scenario analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Developments in E-systems Engineering (DeSE), 2011
  • Conference_Location
    Dubai
  • Print_ISBN
    978-1-4577-2186-1
  • Type

    conf

  • DOI
    10.1109/DeSE.2011.110
  • Filename
    6149961