Review of Polycystic Ovary Syndrome along with Data Mining |
Author(s): |
| Palvi , LOVELY PROFESSIONAL UNIVERSITY |
Keywords: |
| PCOS/PCOD, apnoea, Clustering and Classification |
Abstract |
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One of the prevalent disease that has been faced by women from last two decades is PCOS(polycystic ovary syndrome). It is also called PCOD(Polycystic ovary disease). It can become one of the biggest cause of infertility in women. Today we live in a modern world so we are available with tremendous amount of data. A recent study has revealed that about 18% of the women in India, mostly from the East, suffer from this syndrome. PCOS is characterized by overweight, irregularity in menstrual cycle, oily skin and darkened acne marks, hypertension and metabolic abnormalities/dysfunction[1].This can become cause of type 2 diabetes. Data Mining techniques are used for predicting the same disease. In this paper we have reviewed about PCOS, early symptoms, causes, data mining tasks, techniques of data mining, data mining and medical field and the conclusion. |
Other Details |
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Paper ID: IJSRDV6I41008 Published in: Volume : 6, Issue : 4 Publication Date: 01/07/2018 Page(s): 1419-1422 |
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