Postpartum depression (PPD) affects up to 15 percent of individuals after childbirth. Early identification of patients at risk of PPD could improve proactive mental health support. Researchers developed a machine learning model that can evaluate patients' PPD risk using readily accessible clinical and demographic factors. Findings demonstrate the model's promising predictive capabilities.