Distressed Postpartum Support Seeker

Research on distressed postpartum support seekers focuses on understanding and addressing their diverse needs, particularly concerning mental health challenges and physical issues like urinary incontinence. Current investigations utilize machine learning, including rule-based and generative chatbot models, to predict risk factors for postpartum complications and to develop more effective digital support platforms. Findings highlight the importance of considering both intrinsic and extrinsic factors influencing postpartum well-being, emphasizing the need for tailored interventions and improved digital tools to provide timely and empathetic support to vulnerable mothers.