Automated screening of Polycystic Ovary Syndrome using machine learning techniques

Abstract

Polycystic Ovary Syndrome (PCOS) is one of the most common type of endocrine disorder in reproductive age women. This may result in infertility and anovulation. The diagnostic criterion includes the clinical and metabolic parameters which act as an early marker for the disease. We described a method that automates the PCOS detection based on these markers… (More)

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