基于多层感知器网络的过度医疗防治绩效评价研究

目的 通过多层感知器网络的构建评价过度医疗防治的效果，为进一步完善过度医疗防治体系提供参考。方法 基于多层感知器网络,构建了具有三层神经网络、9个隐含层节点数的过度医疗绩效评价模型。结果 多层感知器网络的训练结果与专家评价（期望结果）两者评价是完全一致的。 结论 该多层神经网络及其评价指标的选取能够很好的应用于医疗服务中的过度医疗防治绩效评价。

Research on Performance Evaluation on Excessive Medical Treatment Based on Multi-layer Perceptron Network

Objective To provide a reference for improving the governance system of excessive medical treatment through multi-layer perception network construction to evaluate the effect of excessive medical treatment. Method A performance evaluation model of excessive medical treatment was set up, which contained 9 cryptic layer nodes and 3 layers. Result The simulation of MLP neural network was consistent with the expected result. Conclusion The selection of multilayer neural network and its evaluation index can be applied to evaluate the performance of preventing and rectifying excessive medical treatment.