Analysis of the benefits and risks of multiple embryo transfer

Speirs, Andrew L.; Lopata, Alexander; Gronow, Michael; Kellow, Geoffrey N.; Johnston, W. I. H.

doi:10.1016/s0015-0282(16)46933-5

Cited by 119 publications

(56 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the area under the curve in Figure 2 is significantly larger (specifically in the case of NB and TAN models) when the cycle features are also considered as predictive features. This demonstrates the asserted contribution of the cycle information to the identification of promising embryos for implantation [6,14,20,36].…”

Section: Bnc Accuracymentioning

confidence: 74%

Fitting the data from embryo implantation prediction: Learning from label proportions

Hernández-González

Inza

Crisol-Ortíz

et al. 2016

Stat Methods Med Res

View full text Add to dashboard Cite

Machine learning techniques have been previously used to assist clinicians to select embryos for human assisted reproduction. This work aims to show how an appropriate modeling of the problem can contribute to improve machine learning techniques for embryo selection. In this study, a dataset of 330 consecutive cycles (and associated embryos) carried out by the Unit of Assisted Reproduction of the Hospital Donostia (Spain) throughout 18 months has been analyzed. The problem of the embryo selection has been modeled by a novel weakly supervised paradigm, learning from label proportions, which considers all the available data, including embryos whose fate cannot be certainly established. Furthermore, all the collected features, describing cycles and embryos, have been considered in a multi-variate data analysis. Our integral solution has been successfully tested. Experimental results show that the proposed technique consistently outperforms an equivalent approach based on standard supervised classification. Embryos in this study were selected for transference according to the criteria of the Spanish Association for Reproduction Biology Studies. Obtained classification models outperform this criteria, specifically reordering medium-quality embryos.Assisted reproductive technologies, Embryo selection, Machine learning, Learning from label proportions, Bayesian network models

show abstract

Section: Bnc Accuracymentioning

confidence: 74%

Fitting the data from embryo implantation prediction: Learning from label proportions

Hernández-González

Inza

Crisol-Ortíz

et al. 2016

Stat Methods Med Res

View full text Add to dashboard Cite

show abstract

“…A pioneering approach for estimating the probability of single and multiple pregnancy after an IVF treatment is the embryo -uterine model (EU) [10], which assumes that, for pregnancy to happen, it is necessary both a receptive uterus and a viable embryo. We represent uterine receptivity as the binary variable U , with states {u, ¬u} (u denoting receptivity, ¬u nonreceptivity); we represent embryo viability as the binary variable E, with states {e, ¬e} (e denoting viability, ¬e non-viability).…”

Section: Introductionmentioning

confidence: 99%

A Bayesian network model for predicting pregnancy after in vitro fertilization

Corani

Magli²,

Giusti

et al. 2013

Computers in Biology and Medicine

View full text Add to dashboard Cite

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.

show abstract

“…Full details of the approach used here are given in the papers by Roberts 1 and Roberts et al 2 The EU approach was first introduced by Speirs et al 98 In the EU model the success of an embryo transfer is portioned into two components: the embryo implantation probability, E, and the uterine receptivity, U. For a successful transfer at least one embryo has to implant and the uterus has to be receptive.…”

Section: The Eu Modelmentioning

confidence: 99%

Towards single embryo transfer? Modelling clinical outcomes of potential treatment choices using multiple data sources: predictive models and patient perspectives

Roberts

McGowan²,

Hirst³

et al. 2010

Health Technol Assess

View full text Add to dashboard Cite

How to obtain copies of this and other HTA programme reports An electronic version of this title, in Adobe Acrobat format, is available for downloading free of charge for personal use from the HTA website (www.hta.ac.uk). A fully searchable DVD is also available (see below).Printed copies of HTA journal series issues cost £20 each (post and packing free in the UK) to both public and private sector purchasers from our despatch agents.Non-UK purchasers will have to pay a small fee for post and packing. For European countries the cost is £2 per issue and for the rest of the world £3 per issue. How to order:-fax (with credit card details) -post (with credit card details or cheque) -phone during office hours (credit card only).Additionally the HTA website allows you to either print out your order or download a blank order form. Contact details are as follows:Synergie UK (HTA Department) Digital House, The Loddon Centre Wade Road Basingstoke Hants RG24 8QW Email: orders@hta.ac.uk Tel: 0845 812 4000 -ask for 'HTA Payment Services' (out-of-hours answer-phone service) Fax: 0845 812 4001 -put 'HTA Order' on the fax header Payment methods Paying by chequeIf you pay by cheque, the cheque must be in pounds sterling, made payable to University of Southampton and drawn on a bank with a UK address. Paying by credit cardYou can order using your credit card by phone, fax or post. SubscriptionsNHS libraries can subscribe free of charge. Public libraries can subscribe at a reduced cost of £100 for each volume (normally comprising 40-50 titles). The commercial subscription rate is £400 per volume (addresses within the UK) and £600 per volume (addresses outside the UK). Please see our website for details. Subscriptions can be purchased only for the current or forthcoming volume. How do I get a copy of HTA on DVD?Please use the form on the HTA website (www.hta.ac.uk/htacd/index.shtml). HTA on DVD is currently free of charge worldwide.The website also provides information about the HTA programme and lists the membership of the various committees. HTA NIHR Health Technology Assessment programmeT he Health Technology Assessment (HTA) programme, part of the National Institute for Health Research (NIHR), was set up in 1993. It produces high-quality research information on the effectiveness, costs and broader impact of health technologies for those who use, manage and provide care in the NHS. 'Health technologies' are broadly defined as all interventions used to promote health, prevent and treat disease, and improve rehabilitation and long-term care. The research findings from the HTA programme directly influence decision-making bodies such as the National Institute for Health and Clinical Excellence (NICE) and the National Screening Committee (NSC). HTA findings also help to improve the quality of clinical practice in the NHS indirectly in that they form a key component of the 'National Knowledge Service'. The HTA programme is needs led in that it fills gaps in the evidence needed by the NHS. There are three routes to the start of project...

show abstract

Analysis of the benefits and risks of multiple embryo transfer

Cited by 119 publications

References 1 publication

Fitting the data from embryo implantation prediction: Learning from label proportions

Fitting the data from embryo implantation prediction: Learning from label proportions

A Bayesian network model for predicting pregnancy after in vitro fertilization

Towards single embryo transfer? Modelling clinical outcomes of potential treatment choices using multiple data sources: predictive models and patient perspectives

Contact Info

Product

Resources

About