Research on the effectiveness of hospital human resource management allocation based on recurrent neural network
Reasonable allocation of human resource management is the guarantee of efficient operation of hospital.In view of the unreasonable scheduling of human resources in existing hospitals,this paper introduces attention mechanism and bidirectional long and short term memory network on the basis of recurrent neural network,carries out weighted average processing of input vectors,and establishes a hospital human resource management allocation model.The results show that the recall rate of the proposed model is 0.599,the accuracy is 0.619,and the AUC value is 0.620,which is the best among the 5 control models.The error of the bidirectional long short-term memory network is smaller than that of the other three models.There is a significant positive relationship between job matching degree and self-efficacy.When the training data proportion is 20%,the bidirectional long short-term memory network model has better superiority than the autoregressive moving average model.Through the model constructed by the research institute,the human resource allocation of sample hospitals is evaluated,which provides a new idea and a new method for China's hospital human resource management practice.
国家科技期刊平台
NSTL
万方数据
