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A LITERATURE INSPECTION ON POLYCYSTIC OVARIAN MORPHOLOGY IN WOMEN USING DATA MINING METHODOLOGIES
Author(s) -
Neetha Thomas
Publication year - 2018
Publication title -
international journal of advanced research in computer science
Language(s) - English
Resource type - Journals
ISSN - 0976-5697
DOI - 10.26483/ijarcs.v9i1.5393
Subject(s) - polycystic ovary , ovulation , endocrine system , computer science , hormone , gynecology , cyst , medicine , physiology , endocrinology , pathology , insulin , insulin resistance

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