From Prediction to Action: Moving Beyond Machine Learning to Implementing Evidence-Based Perinatal Mental Health Care

What is it about?

This editorial discusses a machine-learning prediction model that aims to identify those at risk of postpartum depression using clinical, obstetric, and mental health data abstracted from the electronic medical record. We discuss that focus should not be on machine learning but on implementing effective population-level programs that increase universal screening for PPD, effectively treat those who develop PPD , or prevent PPD symptoms before they occur.

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