Development of Robust and Real Time Web Based IVF Success Rate Prediction Using Machine Learning-Reference-Cited by-同舟云学术

Development of Robust and Real Time Web Based IVF Success Rate Prediction Using Machine Learning

Published:2021-11-09 Issue: Volume: Page:1369-1378
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
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Author:

Gowramma G. S.,Nayak Shantharam,Rakshitha K.,Varsha R.,Jayashree T.

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-3690-5_131

Reference17 articles.

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2. Jurisica I, Mylopoulos J, Glasgow J, Shapiro H, Casper RF (1998) Case-based reasoning in IVF: Prediction andknowledge mining. Artif Intell Med 12(1):1–24

3. Saith R, Srinivasan A, Michie D, Sargent I (1998) Relationships between the developmental potential of human in-vitro fertilization embryos and features describing the embryo, oocyte and follicle. Hum Reprod Update 4:121–134

4. Trimarchi JR, Goodside J, Passmore L, Silberstein T, Hamel L, Gonzalez L. Comparing data mining and logisticregression for predicting IVF outcome. Fertil Steril 80:100–100

5. Davis J, Illingworth P, Salam A (2005) Applications of data mining techniques in assisted reproductive technology. In: 16th Australasian conference on information systems, Sydney

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