08年icm论文（神经网络算法）

熊掌吴

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lovecan

谢谢分享！

cldndx

重复的啊！

唯一

xie   xie  ha   hen  hao

kalvin

good（本文来自于数学中国社区，网址为http://www.madio.net/mcm）

Yuechangyuan

Summary
Social attention has been increasingly paid to health care systems varied in effectiveness and
efficiency. This ** addresses the assessment and prediction of health care system. First and
foremost, a metrics list is established and refined for further assessment. Secondly, model tests are
conducted between countries. Thirdly, a predictive model based on the relationship between
changes and performance is proposed for restructure of the United States health system.
$ w  `$ ^  k( Y( d) q  \' [3 MUnder the guidance of WHO Health System Performance Framework, we gain an insight of the
- C) ?; v' y2 xproblem. Focusing on the outcomes, health, responsiveness and financial protection, we devise
0 e6 C7 z1 @7 V- e1 w9 Cmetrics to build an index system for evaluat ion. Lists which describe each metric are presented
$ }5 f9 [5 _  a. I8 C2 R0 k" Z# \afterwards. Using Comprehensive Evaluation Method (CEM), combinations of metrics are carried
out, yielding metric o for effectiveness and for efficiency , which are the ultimate goals of A o P
health care system. With these metrics, we can compare the relative quality of systems. After a
2 N; W6 R* E( B- k: W, ^' O/ lthorough search of data sources, we refine the metrics list based on data availability, and also
present the estimating and obtaining approaches.
For the purpose of international comparison, Principal Components Analysis is applied to choose
the most important and viable metrics. Life expectancy at birth, prevalence of tuberculosis,
immunization coverage among 1-years-olds and fairness of financial contribution are finally
/ C0 M2 J% v. D& b8 fselected. Then modified Analytical Hierarchy Process is processed to weigh each metric. The test
) |# N6 b( [0 |results between the United States and two other countries are showed below:
$ \. a$ X( D8 m0 o* T0 VInvestigating the discrepancy between results, we attribute the cause to the differences in devise of
$ X; s( _5 d+ ^* k! w1 umetrics and weights in CEM.
Then we propose a novel framework for prediction of restructure. Stepwise Regression Analysis is
/ @4 J( m8 s7 h' E; Fintroduced to find the relationship between the major contributing input factors and outcomes.
Further more, after analyzing the variations of functions, possible policy changes to improve are
recommended, including strengthening primary care system and conducting a single payer system.
Finally, the strength and weakness of our models are summarized, as well as two urgent aspects for
" D4 U. q) i$ qfuture work. The main achievements and contributions of this ** are concluded in the end.

markkang

为什么点击之后下载不了呢。。请问诸位

crg511

假货。。。看来要加强打假的措施才行

银识

这是假货？...
我刚好需要这个啊- =

jq_oo

貌似名不符实