Classification and Comparative Analysis of Prediction Models for Postpartum Depression

Abstract

Postpartum depression (PPD) is a common maternal mental health issue induced by a combination of biopsychosocial factors, which seriously affects the physical and mental health of mothers and infants. Screening for individual maternal risk factors during pregnancy for predicting PPD will contribute to early identification and treatment of PPD. Many prediction models have been developed and extensively used in the research on the etiology of PPD, and classifying and comparing different types of the models could provide an important reference for selecting a rational method for developing the model, and help to increase the forms of PPD screening and diagnosis.

Keywords

• depression, postpartum|prediction model|risk factors|machine learning|review