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Prediction of oocyte maturation rate in the GnRH antagonist flexible IVF protocol using a novel machine learning algorithm – A retrospective study

Ohad Houri, Yotam Gil, Shir Danieli‐Gruber, Yoel Shufaro, Onit Sapir, Alyssa Hochberg, Avi Ben‐Haroush, Avital Wertheimer

2023European Journal of Obstetrics & Gynecology and Reproductive Biology14 citationsDOI

Topics & Concepts

OocyteMedicineOvulationAlgorithmAntagonistRetrospective cohort studyMachine learningProspective cohort studyInternal medicineBiologyHormoneComputer scienceCell biologyEmbryoReceptorReproductive Biology and FertilityOvarian function and disordersReproductive Health and Technologies
Prediction of oocyte maturation rate in the GnRH antagonist flexible IVF protocol using a novel machine learning algorithm – A retrospective study | Litcius