Comparative Analytic Study of Machine Learning Algorithms for PCOS Diagnosis and Outcome Prediction: An Empirical Analysis

Women all around the world are affected by the endocrine condition known as polycystic ovary syndrome (PCOS). There is still a need for comparative research to find variations in PCOS prevalence, diagnosis, treatment, and results among other groups, even though the diagnosis and therapy of PCOS have been well explored. This study attempts to compare the prevalence of PCOS across various ethnic groups, age categories, and geographic locations. Data was gathered from medical records and patient surveys, and a thorough literature review was done to find pertinent studies. In order to assess PCOS prevalence, diagnostic standards, therapeutic alternatives, and patient outcomes across various demographics, statistical analysis was carried out. The study's findings will aid in identifying information gaps and improving PCOS patient treatment approaches.