Unraveling the Complexity : A Comprehensive Analysis of PCOS

PCOS is a global health concern, presenting diagnostic and management challenges, with an increasing prevalence, ethnic disparities, and connections to metabolic health, mental well-being, and social stigmas. This overview emphasizes the need for comprehensive approaches and the significance of data-driven methodologies, such as machine learning. A holistic perspective is crucial to address PCOS implications in today’s world. In addressing this concern, Logistic Regression emerges as the optimal model, yielding notable metrics. The integrated model, presented through Python-Streamlit, provides an interactive platform for users to input details and receive personalized recommendations. The study introduces a dedicated page on yoga poses, promoting a healthier lifestyle. The findings underscore the urgency of comprehensively addressing PCOS, given its profound impact on individuals’ lives.