Research on the construction of prediction model for depressive symptom in the second and third trimester of pregnancy based on artificial neural network

ObjectiveTo investigate the current status of depression in women in the second and third trimesters of pregnancy, analyze the factors associated with depressive symptoms during this period,and construct an artificial neural network-based risk prediction model for depressive symptoms, with the aim of providing evidence for early screening, risk identification, and targeted intervention.MethodsA convenience sample of 588 women in the second and third trimesters of pregnancy (28 -36 weeks of pregn