Machine learning for prediction of euploidy in human embryos: in search of the best-performing model and predictive features
Stefanie De Gheselle, Céline Jacques, J Chambost, Celine Blank, Klaas Declerck, Ilse De Croo, Cristina Hickman, Kelly Tilleman
Topics & Concepts
Artificial intelligenceRandom forestFeature selectionReceiver operating characteristicNaive Bayes classifierLogistic regressionPrecision and recallComputer scienceMachine learningSupport vector machineCross-validationBrier scoreGradient boostingStatisticsMathematicsReproductive Biology and FertilityOvarian function and disordersReproductive Health and Technologies