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This article discusses the potential of using machine learning and natural language processing to diagnose mental health disorders, specifically post-traumatic stress disorder following childbirth. The study evaluates the effectiveness of two models, ChatGPT and ADA, in detecting CB-PTSD and finds that the ADA model outperforms ChatGPT and other previously published models. This approach could be applied to other mental health disorders as well.