Modelling of F3I based feature selection approach for PCOS classification and prediction
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
http://link.springer.com/content/pdf/10.1007/s12652-020-02199-1.pdf
Reference27 articles.
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3. Barber TM, Wass JA, McCarthy MI, Franks S (2007) Metabolic characteristics of women with polycystic ovaries and oligo-amenorrhoea but normal androgen levels: implications for the management of polycystic ovary syndrome. Clin Endocrinol (Oxf) 66(4):513–517. https://doi.org/10.1111/j.1365-2265.2007.02764.x
4. Blagojevic IP, Eror T, Pelivanovic J, Jelic S, Kotur-Stevuljevic J, Ignjatovic S (2017) Women with polycystic ovary syndrome and risk of cardiovascular disease. J Med Biochem 36(1):259–269. https://doi.org/10.1515/jomb-2017-0020
5. Broer SL, Broekmans FJM, Laven JSE, Fauser BCJM (2014) Anti-Mullerian hormone:ovarian reserve testing and its potential clinical implications. Human Reprod Update. https://doi.org/10.1093/humupd/dmu020
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