Analysis of Feasibility in Using PLS-BP Neural Network Model to Assess the Performance Evaluation of Medical Alliance
Abstract：Objective To evaluate the feasibility of using the PLS-BP neural network model in assessing the performance of the regional vertical medical alliance.Methods Based on the analysis of the traditional performance assessment method,the feasibility analysis of the PLS-BP neural network model was applied to the performance assessment of medical alliance.Results The PLS-BP neural network model can effectively modify the shortcomings of traditional performance assessment methods.Conclusion The PLS-BP neural network model can be applied to the performance assessment of the medical alliance.The method of the PLS-BP neural network model doesn't require a large sample size.The PLS-BP method can reduce human factor interference to some degree.The model needs to be further optimized and developed.
Keywords：Partial Least-Squaresartificial neural networksmedical allianceperformancefeasibility analysis
Publication Date：2018-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：3( 58-60 )