A Bayesian network model for predicting pregnancy after in vitro fertilization-Reference-Cited by-同舟云学术

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A Bayesian network model for predicting pregnancy after in vitro fertilization

Published:2013-11 Issue:11 Volume:43 Page:1783-1792
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Corani G.,Magli C.,Giusti A.,Gianaroli L.,Gambardella L.M.

Funder

CTI (Commission for Technology and Innovation)

Swiss NSF

Hasler

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference34 articles.

1. Morphologic parameters of early cleavage-stage embryos that correlate with fetal development and delivery: prospective and applied data for increased pregnancy rates;Scott;Hum. Reprod.,2007

2. The Istanbul consensus workshop on embryo assessment;Balaban;Hum. Reprod.,2011

3. Oocyte euploidy, pronuclear zygote morphology and embryo chromosomal complement;Gianaroli;Hum. Reprod.,2007

4. A. Uyar, A. Bener, H.N. Ciray, M. Bahceci, Bayesian networks for predicting IVF blastocyst development, in: 20th International Conference on Pattern Recognition (ICPR 2010), 2010, pp. 2772–2775.

5. Non-invasive imaging of human embryos before embryonic genome activation predicts development to the blastocyst stage;Wong;Nat. Biotechnol.,2010

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3. Using feature optimization and LightGBM algorithm to predict the clinical pregnancy outcomes after in vitro fertilization;Frontiers in Endocrinology;2023-11-29

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