Data Mining Models Applied in Prediction of IVF Success Rates: An Overview

Author:

Gowramma G. S.,Nayak Shantharam,Cholli Nagaraj

Publisher

Springer Singapore

Reference27 articles.

1. Adamson PC, Krupp K, Freeman AH, Klausner JD, Reingold AL, Madhivanan P (2011) Prevalence and correlates of primary infertility among young women in Mysore, India. Indian J Med Res 134(4):440–446

2. Sabanegh ES Jr (2010) Male infertility: problems and solutions. Springer Science and Business Media, pp 82–83. ISBN 978-1-60761-193-6. https://books.google.com/books?id=YthJpK5clTMC&pg=PA82

3. Ozkaya AU (2011) Assessing and enhancing machine learning methods in IVF process: predictive modelling of implantation and blastocyst development. Submitted to the Institute for Graduate Studies in Science and Engineering in partial fulfillment of the requirements for the degree of Doctor of Philosophy. Graduate Program in Computer Engineering, Boğaziçi University

4. Gowramma GS, Nayak S, Cholli N (2019) Intrinsic and extrinsic factors predicting the cumulative outcome of IVF/ICSI treatment. IJITEE 9(2S):269–273. ISSN: 2278-3075. https://doi.org/10.35940/ijitee.b1007.1292s19

5. Malizia BA, Hacker MR, Penzias AS (2009) Cumulative live-birth rates after in vitro fertilization. New England J Med 360:236–43

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