A Bayesian network model for predicting pregnancy after in vitro fertilization

Corani, Giorgio and Magli, Cristina and Giusti, Alessandro and Gianaroli, Luca and Gambardella, Luca Maria (2013) A Bayesian network model for predicting pregnancy after in vitro fertilization. Computers in Biology and Medicine, 43 (11). pp. 1783-1792. ISSN 0010-4825

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Abstract

We present a Bayesian network model for predicting the outcome of in vitro fertilization (IVF). The problem is characterized by a particular missingness process; we propose a simple but effective averaging approach which improves parameter estimates compared to the traditional MAP estimation. We present results with generated data and the analysis of a real data set. Moreover, we assess by means of a simulation study the effectiveness of the model in supporting the selection of the embryos to be transferred.

Item Type:	Scientific journal article, Newspaper article or Magazine article
Uncontrolled Keywords:	In vitro fertilization (IVF); Bayesian networks; EM algorithm; MAP estimation; Classification
Subjects:	Medicine and Dentistry > Clinical medicine Mathematical sciences > Statistics > Applied statistics Computer sciences > Artificial intelligence Computer sciences > Artificial intelligence > Machine learning
Department/unit:	Dipartimento tecnologie innovative > Istituto Dalle Molle di studi sull’intelligenza artificiale USI-SUPSI
Depositing User:	Giorgio Corani
Date Deposited:	10 Jun 2014 05:45
Last Modified:	06 Jun 2016 07:07
URI:	http://repository.supsi.ch/id/eprint/4735

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• A Bayesian network model for predicting pregnancy after in vitro fertilization. (deposited 13 Mar 2014 15:17)
  • A Bayesian network model for predicting pregnancy after in vitro fertilization. (deposited 10 Jun 2014 05:45) [Currently Displayed]

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