The Model Of Credit Rank Evaluation Of Medical Organizations Appointed By Medicare Center Based On Artificial Neural Networks

In the reform process of basic medicare of town officers and workers, there are a large of problems in medical organizations appointed by medicare center,and the problems made medicare fund in danger. for solve these problems,since 2004,government start manage medical organizations by credit rank evaluation.For carry out manage method that evaluate the credit rank of medical organizations appointed by medicare center, the governments all adopted some technique means to evaluate the credit rank of medical organizations appointed by medicare center. According the material about medicare, the methods of evaluation about credit rank is mainly "expert evaluation method". But his evaluation method is too depend on the personnel's experience and ability to impersonality.Not only such, this evaluation method still need a great deal of funds for carry out, resulted in that a large of medicare fund be wasted, this oppose the original intention of credit rank evaluation of medical organizations appointed by medicare center.For overcoming the shortage of"expert evaluation method", this text make use of the artificial nerve network model to carry out learning evaluate the credit rank of medical organizations appointed by medicare center, and according the problem of appearing in the learning process to make an improvement to the artificial nerve network, at last,the improvement overcame the shortage of Artificial Neural Networks that evaluate credit rank of medical organizations appointed by medicare center. At last,by the analysis and proof of the experiments that has been done, credit rank evaluation networks that has been learned of medical organizations appointed by medicare center is effective,this model can be used for a later evaluation.For made a more strict manage to the medical organizations appointed by medicare center,in paper,base on a large of date in medicare datebase,find out the rules-out behavior of medical organizations appointed by medicare center by the way that make use of LOF algorithm to dig date. Finally,the experiment that has been done prove:the exactitude rate of rules-out behavior that has been find above 60%,thus it can be seen,this method is effective.due to the method be used,the working load of medicare center's workers be lightened.