Analysing Polycystic Ovary Syndrome Using Machine Learning Models

A lot of women of childbearing age have Polycystic Ovary Syndrome, or PCOS. It is a problem with the hormones that control reproduction. PCOS commonly affects women who are able to have children. In addition to irregular menstrual cycles, this condition is characterised by elevated testosterone levels and the formation of small ovarian cysts. People living with polycystic ovarian syndrome (PCOS) sometimes struggle with personality issues. Infertility, obesity, poor insulin resistance, and a high risk of diabetes and cardiovascular disease are all possible outcomes. PCOS, despite being common and having significant impacts on women's health, is still not widely acknowledged or well comprehended by the general population. Frequently, there is a deficiency in knowledge regarding the condition, leading to a delay in diagnosis, insufficient support, and the imposition of social stigma. Educating and raising knowledge about PCOS is important so that people who have it can get the right medical care and mental support right away, which will help them take better care of their general health and well-being.