The Research Of Physician Regularly Assessment Based On The Model Research

Objective:at present, the evaluation of physicians on a regular basis from the law policy level has a relatively perfect system, in the assessment evaluation methods need further perfect. Put forward, this study was to study the feasibility of the physicians regular assessment mode innovation, carry out relevant work, by means of informatization in pattern algorithm to complete the physician assessment assessment index. At the same time, the introduction of domestic and foreign existing to the existing domestic and foreign physicians conduct regular assessment mode analysis, put forward constructive Suggestions.Methods:using the Matlab neural network toolbox, design reasonable design feasible network model, to complete the analysis of the existing data.Conclusion:the use of artificial neural network model of good generalization performance, the design of the model has good reusability. With the right model based neural network can improve the generalization ability, for the physicians to evaluate work applied neural network model is of general significance.