Development of a dynamic machine learning algorithm to predict clinical pregnancy and live birth rate with embryo morphokinetics
Yang L, Peavey M, Kaskar K, Chappell N, Zhu L, Devlin D, Valdes C, Schutt A, Woodard T, Zarutskie P, Cochran R, Gibbons W. Development of a dynamic machine learning algorithm to predict clinical pregnancy and live birth rate with embryo morphokinetics. F&S Reports 2022, 3: 116-123. PMID: 35789724, PMCID: PMC9250114, DOI: 10.1016/j.xfre.2022.04.004.Peer-Reviewed Original ResearchClinical pregnancy ratePregnancy rateClinical pregnancyAcademic fertility clinicRetrospective cohort analysisLive birth rateTertiary hospital settingLive birth outcomesPositive predictive valueBirth outcomesCohort analysisHospital settingFertility clinicsPredictive valueSecondary analysisPregnancyEmbryo morphokineticsBirth rateMorphokineticsTime-lapse microscopySimilar resultsPatientsClinic