Risk Pre-warning Model of Doctor-Patient Relationship Based on Particle Swarm Optimization BP Neural Network

In this paper, an optimized modeling method based on particle swarm optimization (PSO) toward back propagation (BP) neural network was proposed to raise the prediction accuracy for the doctor-patients risk pre-warning case. The PSO method was applied to optimize the initial weights and biases of the conventional BP neural network to raise the prediction accuracy. By contrast and analysis of the results, the optimized method achieved a more effective prediction with much lower error. Therefore, the proposed PSO-BP neural network provides a more promising prediction method with faster convergence and higher accuracy.