基于决策树与神经网络模型的突发公共卫生事件下医务人员生命质量现状及影响因素研究

【Abstract】Objective: To understand the current situation of the quality of life of medical staff in the context of responding to public health emergencies and discuss its influencing factors, so as to scientifically mobilize the enthusiasm and stability of medical staff in response to public health emergencies and promote the new quality productivity of the medical system under public crises.Methods: The convenient sampling and snowball-sampling were used to investigate medical staff in China in May-June 2022 with using World Health Organization quality of life brief scale, the utrecht work engagement scale and the practice environment scale, and establish decision tree and neural network models to analyze the factors affecting the quality of life of medical staff. Results: Quality of life of medical staff was (62.61±14.99). Decision tree results showed that the practice environment, work engagement, work willingness, educational background had influence on the quality of life of medical staff (P<0.05), and the influence degree was gradually reduced by the results of the neural network model. Conclusion: The quality of life of medical staff is not high. The practice environment, the work engagement, work willingness is the main influencing factor. Two models have their advantages and disadvantages, which combined use makes the results more meaningful.