Exploration on Polycystic Ovarian Syndrome and Data Mining Techniques

Today we live in a modern world. To explore the data from various sources and putting them in one place is data warehouse and to extract the useful knowledge out of it is data mining.Data mining utilizes various sets of rules that make classifications, associations, predictions, clustering etc. Women in today's era suffering from multiple kind of diseases.The most prevalent disease these days is PCOS(polycystic ovary syndrome) which can affect women reproductive life to great extent. This leads to infertility and various kinds of disorders in women.. The main symptoms of this disease are irregular menses, oily skin, acne, hypertension, anxiety disorders. In this paper, authors have highlighted the symptoms and various risks related to this disease, treatments suited for this disease and various data mining techniques that needed to be merged so as to predict this very disease with high accuracy.