Ensemble-Based Machine Learning Models for Classifying Intervention-Related Psychological Outcome Patterns in Menopausal Women Treated With Pimpinella anisum

Background

Menopause, a natural biological transition in the life of women, is often associated with significant psychological disturbances such as depression, anxiety, and stress. However, early identification and management of psychological disorders in menopausal women remain under-addressed due to limited specialist access and a lack of systematic screening approaches.