The application of neural networks in predicting the outcome of in-vitro fertilization.

@article{Kaufmann1997TheAO,
  title={The application of neural networks in predicting the outcome of in-vitro fertilization.},
  author={Shoshana Kaufmann and J. L. Eastaugh and S. Snowden and Steve W. Smye and Vinay Sharma},
  journal={Human reproduction},
  year={1997},
  volume={12 7},
  pages={1454-7}
}
Infertility affects one in six couples at some time in their lives, with 48% of these couples requiring assisted conception techniques in order to achieve a pregnancy. Whilst the overall clinical pregnancy rate per embryo transfer is 23%, this varies widely between clinics. The Human Fertilisation and Embryology Authority has attempted to analyse the results of all units, with weighting of different factors affecting assisted conception, and the published data have invariably led to comparisons… CONTINUE READING

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