基于BP神经网络模型的人体解剖学实验室开放影响因素分析

李成龙; 张莉

doi:10.13898/j.cnki.issn.1000-2200.2022.09.029

基于BP神经网络模型的人体解剖学实验室开放影响因素分析

李成龙,
张莉

Analysis of the influencing factors of opening of human anatomy laboratory based on the BP neural network model

摘要

摘要:
目的基于误差逆转播(back propagation, BP)神经网络模型，探讨临床医学专业学生(临床医学生)参与人体解剖学实验室开放教学的影响因素。
方法通过在线调查的方法进行问卷调查，采用单因素分析和BP神经网络模型，分析影响临床医学生参与人体解剖学实验室开放教学的因素。
结果共收集595名临床医学生的有效调查问卷，单因素分析显示，临床医学生的开放愿望影响临床医学生参与实验室开放(P < 0.05)，且位居BP神经网络模型标准化后重要性第一，模型的ROC曲线下面积为0.724。
结论临床医学生对人体解剖学实验室的开放愿望是影响临床医学生参与人体解剖学实验室开放的重要因素。

Abstract:
ObjectiveTo explore the influencing factors of clinical medical students′ participation in open teaching of human anatomy laboratory based on back propagation(BP) neural network model.
MethodsA questionnaire survey was conducted through online survey, and the univariate analysis and BP neural network model were used to analyze the factors affecting clinical medical students′ participation in the open teaching of human anatomy laboratory.
ResultsA total of 595 valid questionnaires were collected from clinical medical students.The results of univariate analysis showed that the desire of opening of clinical medical students affected the participation of clinical medical students in laboratory opening(P < 0.05) and ranked first after the standardization of BP neural network model, and the area under the ROC curve of the model was 0.724.
ConclusionsThe desire of clinical medical students to open human anatomy laboratory is an important factor that affects the participation of clinical medical students in the opening of human anatomy laboratory.

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