Predicting mood swings in women of reproductive age using machine learning on metabolic, menstrual, and lifestyle indicators

Low-cost, self-reported features can support ML prediction of mood swings in reproductive-age women with good performance. Findings motivate prospective validation, dynamic prediction with wearables, and evaluation of AI-based approaches for early detection of women's mental health concerns in community and primary care settings.