TY - JOUR AU - Zegers-Hochschild, F. AU - Adamson, G. D. AU - Dyer, S. AU - Racowsky, C. AU - Mouzon, J. AU - Sokol, R. PY - 2017 DA - 2017// TI - The international glossary on infertility and fertility care, 2017 JO - Hum Reprod VL - 32 UR - https://doi.org/10.1093/humrep/dex234 DO - 10.1093/humrep/dex234 ID - Zegers-Hochschild2017 ER - TY - JOUR AU - Vander Borght, M. AU - Wyns, C. PY - 2018 DA - 2018// TI - Fertility and infertility: definition and epidemiology JO - Clin Biochem VL - 62 UR - https://doi.org/10.1016/j.clinbiochem.2018.03.012 DO - 10.1016/j.clinbiochem.2018.03.012 ID - Vander Borght2018 ER - TY - JOUR AU - Crawford, G. E. AU - Ledger, W. L. PY - 2019 DA - 2019// TI - In vitro fertilisation/intracytoplasmic sperm injection beyond 2020 JO - BJOG VL - 126 UR - https://doi.org/10.1111/1471-0528.15526 DO - 10.1111/1471-0528.15526 ID - Crawford2019 ER - TY - JOUR AU - Braat, D. D. AU - Schutte, J. M. AU - Bernardus, R. E. AU - Mooij, T. M. AU - Leeuwen, F. E. PY - 2010 DA - 2010// TI - Maternal death related to IVF in the Netherlands 1984–2008 JO - Hum Reprod VL - 25 UR - https://doi.org/10.1093/humrep/deq080 DO - 10.1093/humrep/deq080 ID - Braat2010 ER - TY - JOUR AU - Mourad, S. AU - Brown, J. AU - Farquhar, C. PY - 2017 DA - 2017// TI - Interventions for the prevention of OHSS in ART cycles: an overview of Cochrane reviews JO - Cochrane Database Syst Rev VL - 1 ID - Mourad2017 ER - TY - JOUR AU - Inhorn, M. C. AU - Patrizio, P. PY - 2015 DA - 2015// TI - Infertility around the globe: new thinking on gender, reproductive technologies and global movements in the 21st century JO - Hum Reprod Update VL - 21 UR - https://doi.org/10.1093/humupd/dmv016 DO - 10.1093/humupd/dmv016 ID - Inhorn2015 ER - TY - JOUR AU - Dhillon, R. K. AU - McLernon, D. J. AU - Smith, P. P. AU - Fishel, S. AU - Dowell, K. AU - Deeks, J. J. PY - 2016 DA - 2016// TI - Predicting the chance of live birth for women undergoing IVF: a novel pretreatment counselling tool JO - Hum Reprod VL - 31 UR - https://doi.org/10.1093/humrep/dev268 DO - 10.1093/humrep/dev268 ID - Dhillon2016 ER - TY - JOUR AU - McLernon, D. J. AU - Steyerberg, E. W. AU - Velde, E. R. AU - Lee, A. J. AU - Bhattacharya, S. PY - 2016 DA - 2016// TI - Predicting the chances of a live birth after one or more complete cycles of in vitro fertilisation: population based study of linked cycle data from 113,873 women JO - BMJ VL - 355 UR - https://doi.org/10.1136/bmj.i5735 DO - 10.1136/bmj.i5735 ID - McLernon2016 ER - TY - JOUR AU - McLernon, D. J. AU - Steyerberg, E. W. AU - Velde, E. R. AU - Lee, A. J. AU - Bhattacharya, S. PY - 2018 DA - 2018// TI - An improvement in the method used to assess discriminatory ability when predicting the chances of a live birth after one or more complete cycles of in vitro fertilisation JO - BMJ VL - 362 UR - https://doi.org/10.1136/bmj.k3598 DO - 10.1136/bmj.k3598 ID - McLernon2018 ER - TY - JOUR AU - Sermondade, N. AU - Huberlant, S. AU - Bourhis-Lefebvre, V. AU - Arbo, E. AU - Gallot, V. AU - Colombani, M. PY - 2019 DA - 2019// TI - Female obesity is negatively associated with live birth rate following IVF: a systematic review and meta-analysis JO - Hum Reprod Update VL - 25 UR - https://doi.org/10.1093/humupd/dmz011 DO - 10.1093/humupd/dmz011 ID - Sermondade2019 ER - TY - JOUR AU - Iliodromiti, S. AU - Kelsey, T. W. AU - Wu, O. AU - Anderson, R. A. AU - Nelson, S. M. PY - 2014 DA - 2014// TI - The predictive accuracy of anti-Mullerian hormone for live birth after assisted conception: a systematic review and meta-analysis of the literature JO - Hum Reprod Update VL - 20 UR - https://doi.org/10.1093/humupd/dmu003 DO - 10.1093/humupd/dmu003 ID - Iliodromiti2014 ER - TY - JOUR AU - Deo, R. C. PY - 2015 DA - 2015// TI - Machine learning in medicine JO - Circulation VL - 132 UR - https://doi.org/10.1161/CIRCULATIONAHA.115.001593 DO - 10.1161/CIRCULATIONAHA.115.001593 ID - Deo2015 ER - TY - JOUR AU - Handelman, G. S. AU - Kok, H. K. AU - Chandra, R. V. AU - Razavi, A. H. AU - Lee, M. J. AU - Asadi, H. PY - 2018 DA - 2018// TI - eDoctor: machine learning and the future of medicine JO - J Intern Med VL - 284 UR - https://doi.org/10.1111/joim.12822 DO - 10.1111/joim.12822 ID - Handelman2018 ER - TY - JOUR AU - Rahimian, F. AU - Salimi-Khorshidi, G. AU - Payberah, A. H. AU - Tran, J. AU - Ayala Solares, R. AU - Raimondi, F. PY - 2018 DA - 2018// TI - Predicting the risk of emergency admission with machine learning: development and validation using linked electronic health records JO - PLoS Med VL - 15 UR - https://doi.org/10.1371/journal.pmed.1002695 DO - 10.1371/journal.pmed.1002695 ID - Rahimian2018 ER - TY - JOUR AU - Ross, E. G. AU - Jung, K. AU - Dudley, J. T. AU - Li, L. AU - Leeper, N. J. AU - Shah, N. H. PY - 2019 DA - 2019// TI - Predicting future cardiovascular events in patients with peripheral artery disease using electronic health record data JO - Circ Cardiovasc Qual Outcomes VL - 12 UR - https://doi.org/10.1161/CIRCOUTCOMES.118.004741 DO - 10.1161/CIRCOUTCOMES.118.004741 ID - Ross2019 ER - TY - JOUR AU - Santos Filho, E. AU - Noble, J. A. AU - Poli, M. AU - Griffiths, T. AU - Emerson, G. AU - Wells, D. PY - 2012 DA - 2012// TI - A method for semi-automatic grading of human blastocyst microscope images JO - Hum Reprod VL - 27 UR - https://doi.org/10.1093/humrep/des219 DO - 10.1093/humrep/des219 ID - Santos Filho2012 ER - TY - JOUR AU - Blank, C. AU - Wildeboer, R. R. AU - DeCroo, I. AU - Tilleman, K. AU - Weyers, B. AU - Sutter, P. PY - 2019 DA - 2019// TI - Prediction of implantation after blastocyst transfer in in vitro fertilization: a machine-learning perspective JO - Fertil Steril VL - 111 UR - https://doi.org/10.1016/j.fertnstert.2018.10.030 DO - 10.1016/j.fertnstert.2018.10.030 ID - Blank2019 ER - TY - JOUR AU - Waljee, A. K. AU - Higgins, P. D. PY - 2010 DA - 2010// TI - Machine learning in medicine: a primer for physicians JO - Am J Gastroenterol VL - 105 UR - https://doi.org/10.1038/ajg.2010.173 DO - 10.1038/ajg.2010.173 ID - Waljee2010 ER - TY - JOUR AU - Koutsouleris, N. AU - Kahn, R. S. AU - Chekroud, A. M. AU - Leucht, S. AU - Falkai, P. AU - Wobrock, T. PY - 2016 DA - 2016// TI - Multisite prediction of 4-week and 52-week treatment outcomes in patients with first-episode psychosis: a machine learning approach JO - Lancet Psychiatry VL - 3 UR - https://doi.org/10.1016/S2215-0366(16)30171-7 DO - 10.1016/S2215-0366(16)30171-7 ID - Koutsouleris2016 ER - TY - STD TI - National Collaborating Centre for Women’s and Children’s Health (UK). Fertility: assessment and treatment for people with fertility problems. London: Royal College of Obstetricians & Gynaecologists; 2013 Feb. (NICE Clinical Guidelines, No. 156.) https://www.ncbi.nlm.nih.gov/books/NBK247932/. UR - https://www.ncbi.nlm.nih.gov/books/NBK247932/ ID - ref20 ER - TY - JOUR AU - Loendersloot, L. AU - Repping, S. AU - Bossuyt, P. M. AU - Veen, F. AU - Wely, M. PY - 2014 DA - 2014// TI - Prediction models in in vitro fertilization; where are we? A mini review JO - J Adv Res VL - 5 UR - https://doi.org/10.1016/j.jare.2013.05.002 DO - 10.1016/j.jare.2013.05.002 ID - Loendersloot2014 ER - TY - JOUR AU - Ngiam, K. Y. AU - Khor, I. W. PY - 2019 DA - 2019// TI - Big data and machine learning algorithms for health-care delivery JO - Lancet Oncol VL - 20 UR - https://doi.org/10.1016/S1470-2045(19)30149-4 DO - 10.1016/S1470-2045(19)30149-4 ID - Ngiam2019 ER - TY - STD TI - Chen T, Guestrin C, editors. Xgboost: A scalable tree boosting system. In: Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining; 2016: ACM. ID - ref23 ER - TY - JOUR AU - Khemasuwan, D. AU - Sorensen, J. AU - Griffin, D. C. PY - 2018 DA - 2018// TI - Predictive variables for failure in administration of intrapleural tissue plasminogen activator/deoxyribonuclease in patients with complicated parapneumonic effusions/empyema JO - Chest VL - 154 UR - https://doi.org/10.1016/j.chest.2018.01.037 DO - 10.1016/j.chest.2018.01.037 ID - Khemasuwan2018 ER - TY - JOUR AU - Xiao, J. AU - Ding, R. AU - Xu, X. AU - Guan, H. AU - Feng, X. AU - Sun, T. PY - 2019 DA - 2019// TI - Comparison and development of machine learning tools in the prediction of chronic kidney disease progression JO - J Transl Med VL - 17 UR - https://doi.org/10.1186/s12967-019-1860-0 DO - 10.1186/s12967-019-1860-0 ID - Xiao2019 ER - TY - JOUR AU - Zhang, Z. AU - Ho, K. M. AU - Hong, Y. PY - 2019 DA - 2019// TI - Machine learning for the prediction of volume responsiveness in patients with oliguric acute kidney injury in critical care JO - Crit Care VL - 23 UR - https://doi.org/10.1186/s13054-019-2411-z DO - 10.1186/s13054-019-2411-z ID - Zhang2019 ER - TY - JOUR AU - Leijdekkers, J. A. AU - Eijkemans, M. J. C. AU - Tilborg, T. C. AU - Oudshoorn, S. C. AU - McLernon, D. J. AU - Bhattacharya, S. PY - 2018 DA - 2018// TI - Predicting the cumulative chance of live birth over multiple complete cycles of in vitro fertilization: an external validation study JO - Hum Reprod VL - 33 UR - https://doi.org/10.1093/humrep/dey263 DO - 10.1093/humrep/dey263 ID - Leijdekkers2018 ER -