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
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