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
Link To Document :
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