Statistical model for analysis of factors related to depressive symptoms in HIV-infected patients
Objective:To analyze and compare the related factors of depressive symptoms in HIV-infected women of childbearing age using three statistical models.Methods:Totally 553 HIV-infected women of childbear-ing age were selected,and depressive symptoms of infected women were evaluated with the Hamilton Depression Scale(HAMD).Logistic regression model,artificial neural network model and decision tree model were selected to analyze the related factors of depressive symptoms of infected women,and ROC curve was used to compare the pre-diction effects of the three models.Results:The areas under ROC curve were sorted in order from large to small as decision tree model,artificial neural network model and logistic regression model(AUC=0.813,0.707,0.701).The ROC area values of artificial neural network model and logistic regression model were both smaller than those of decision tree model(P＜0.01).Conclusion:Decision tree model is better than artificial neural network model and logistic regression model in predicting depressive symptoms in HIV-infected patients.
women of childbearing ageinfected with AIDSperception of discriminationdepressionmod-el
万方数据
维普
