A method for predicting postpartum depression via an ensemble neural network model.
Journal:
Frontiers in public health
PMID:
40297040
Abstract
INTRODUCTION: Postpartum depression (PPD) has numerous adverse impacts on the families of new mothers and society at large. Early identification and intervention are of great significance. Although there are many existing machine learning classifiers for PPD prediction, the requirements for high accuracy and the interpretability of models present new challenges.