A retrospective cohort study presented at the American Psychiatric Association’s annual meeting suggests that a machine-learning model using electronic health record data can effectively predict the risk of postpartum depression in new mothers. The model demonstrated good predictive performance and could facilitate targeted interventions and individualized care for those at higher risk, potentially improving outcomes for postpartum mental health.
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