Early Identification of PCOS using Machine Learning Techniques


Authors : D.P. Sangeetha; P. Nithish Raj; R. Shurthika

Volume/Issue : Volume 8 - 2023, Issue 11 - November

Google Scholar : https://tinyurl.com/ya4xd93y

Scribd : https://tinyurl.com/2ac7wpsa

DOI : https://doi.org/10.5281/zenodo.10215602

Abstract : PCOS stands for Polycystic Ovary Syndrome. It is a common hormonal disorder that primarily affects women of reproductive age. It can cause various symptoms, including irregular periods, excess androgen levels, and small fluid-filled sacs (cysts) in the ovaries. PCOS is not typically found in men, as it is associated with the female reproductive system. While it's not life- threatening, it can lead to serious health problems if left untreat- ed. PCOS can increase the risk of conditions such as type 2 dia- betes, heart disease, and infertility. Early diagnosis and proper management are important for managing its effects on women's health.

Keywords : PCOS, Diabetes, Heart Disease, Obesity, ML

PCOS stands for Polycystic Ovary Syndrome. It is a common hormonal disorder that primarily affects women of reproductive age. It can cause various symptoms, including irregular periods, excess androgen levels, and small fluid-filled sacs (cysts) in the ovaries. PCOS is not typically found in men, as it is associated with the female reproductive system. While it's not life- threatening, it can lead to serious health problems if left untreat- ed. PCOS can increase the risk of conditions such as type 2 dia- betes, heart disease, and infertility. Early diagnosis and proper management are important for managing its effects on women's health.

Keywords : PCOS, Diabetes, Heart Disease, Obesity, ML

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