International Research Journal of Commerce , Arts and Science

 ( Online- ISSN 2319 - 9202 )     New DOI : 10.32804/CASIRJ

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EARLY DETECTION OF PCOS UTILIZING OVERSAMPLING AND UNDERSAMPLING ACROSS SEVERAL MODELS VIA MACHINE LEARNING

    2 Author(s):  VIBHA PRATAP,PRIYA MEENA

Vol -  14, Issue- 8 ,         Page(s) : 202 - 209  (2023 ) DOI : https://doi.org/10.32804/CASIRJ

Abstract

Polycystic ovary syndrome commonly called PCOS is a health condition for women in which multiple follicle growth is observed in ovaries which appear like cysts. It is found that 1 in 10 women suffer from it. Early prediction can tone down the worsening of symptoms such as the growth of facial hair, irregular period, infertility, pregnancy complications, anxiety, depression etc.

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