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TUESDAY, 3 JULY 2018
SELECTED ORAL COMMUNICATIONS
17:00 - 18:00 Room 211+212
Session 53: Machine learning and artificial intelligence
Chairman: N. Raine-Fenning (United Kingdom) Chairman: Chair to be announced
17:00 O-194
17:15 O-195
17:30 O-196
17:45 O-197
A pre-treatment counselling tool for predicting the cumulative probability of live birth
N. Balachandren1, M. Salman1, N.L. Diu1, D. Mavrelos1 1UCLH, Womens Health, London, United Kingdom
Development and validation of an artificial intelligence based algorithm for the selection of an optimal stimulation protocols in IVF patients
N. Correa1, S. Brazal2, D. García2, M. Brassesco1, R. Vassena2
1Centro de Infertilidad y Reproducción Humana CIRH, Assisted Reproduction, Barcelona, Spain 2Clínica EUGIN, Research Department, Barcelona, Spain
Optimization of prediction models for live birth and miscarriage rate in intrauterine insemination between homologous and frozen donor semen
M.J. Soriano1, I. Molina2, J.V. Martínez2, A. Palomar2, S. Balasch3, J.M. Rubio2
1Instituto de Investigación Sanitaria La Fe, Reproductive Medicine, Valencia, Spain
2Hospital Universitari i Politècnic La Fe, Reproducción Humana Asistida, Valencia, Spain
3Universitat Politècnica de València, Estadística e Investigación Operativa Aplicadas y Calidad, Valencia, Spain
Comparison of machine learning models for the prediction of live birth following IVF treatment: an analysis of 463,669 cycles from a national database
I. Sfontouris1, A. Patelakis2, G. Panitsa2, S. Theodoratos2, N. Raine-Fenning1
1University of Nottingham, Child Health- Obstetrics and Gynaecology, Nottingham, United Kingdom 2Business Insight Co, Business Insight Co, Cambridge, United Kingdom
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