Interpretable machine learning to predict adverse perinatal outcomes: examining marginal predictive value of risk factors during pregnancy
Sun Ju Lee, Gian-Gabriel P. Garcia, Kaitlyn K. Stanhope, Marissa Platner, Sheree L. Boulet
Topics & Concepts
MedicinePregnancyLogistic regressionObstetricsApgar scoreReceiver operating characteristicContext (archaeology)Prospective cohort studyGestationBirth weightInternal medicineBiologyGeneticsPaleontologyPreterm Birth and ChorioamnionitisPregnancy and preeclampsia studiesGestational Diabetes Research and Management