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08年icm论文(神经网络算法)

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发表于 2009-1-30 10:00 |只看该作者 |倒序浏览
|招呼Ta 关注Ta
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Summary( O+ F! o( Z6 X; j- \& V+ c
Social attention has been increasingly paid to health care systems varied in effectiveness and- u0 z- H: Q% t3 m
efficiency. This ** addresses the assessment and prediction of health care system. First and9 M& o- [5 ^, [3 y! R6 I3 p" g
foremost, a metrics list is established and refined for further assessment. Secondly, model tests are
7 a- O) S+ @9 |& ?( {conducted between countries. Thirdly, a predictive model based on the relationship between
7 p. M3 ]* n; l# Hchanges and performance is proposed for restructure of the United States health system.
. ]1 l* }1 Y9 m3 O4 K8 nUnder the guidance of WHO Health System Performance Framework, we gain an insight of the) w8 k7 P' j- I3 o  L
problem. Focusing on the outcomes, health, responsiveness and financial protection, we devise& B- }5 h3 l% \) r; W
metrics to build an index system for evaluat ion. Lists which describe each metric are presented1 y- c. R6 y' j# ~; w3 X" U+ z
afterwards. Using Comprehensive Evaluation Method (CEM), combinations of metrics are carried
, d3 n- X3 L) m) Qout, yielding metric o for effectiveness and for efficiency , which are the ultimate goals of A o P+ d1 N  C# }8 T- x# Q5 v) [
health care system. With these metrics, we can compare the relative quality of systems. After a8 @8 y1 J- E$ a8 o! k7 |
thorough search of data sources, we refine the metrics list based on data availability, and also
1 g! o2 P( f& J7 t7 ppresent the estimating and obtaining approaches.
+ `, l% [3 o9 e2 I1 w) ~For the purpose of international comparison, Principal Components Analysis is applied to choose+ V( `) W3 w" n
the most important and viable metrics. Life expectancy at birth, prevalence of tuberculosis,
, q$ [+ S- K' Q- J8 Z/ i: mimmunization coverage among 1-years-olds and fairness of financial contribution are finally
/ a4 k& T3 M' `- I8 Nselected. Then modified Analytical Hierarchy Process is processed to weigh each metric. The test
$ x8 \3 u& M- {' Y9 H( w9 t5 t: Lresults between the United States and two other countries are showed below:
0 x, ?& }6 g5 F6 C9 w, PInvestigating the discrepancy between results, we attribute the cause to the differences in devise of
7 F7 @' w$ v) k$ m! ]5 ]0 O& ^metrics and weights in CEM.
  m, k5 ^6 T# N7 lThen we propose a novel framework for prediction of restructure. Stepwise Regression Analysis is1 q7 S& _( m5 x; m4 y
introduced to find the relationship between the major contributing input factors and outcomes.& I. d: _7 z* V2 W1 D2 q9 f
Further more, after analyzing the variations of functions, possible policy changes to improve are+ c: h: u, G0 f" s; x7 w
recommended, including strengthening primary care system and conducting a single payer system., E  B9 j1 d+ i/ R
Finally, the strength and weakness of our models are summarized, as well as two urgent aspects for. x9 @2 Y% g5 Z
future work. The main achievements and contributions of this ** are concluded in the end.
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