This study tests the hypothesis that established NICHD-approved electronic fetal monitoring (EFM) features used as standard care in the U.S. and other developed countries can exhibit improved sensitivity and specificity for predicting HIE when they are combined with novel EFM features that will be discovered by advanced signal processing and machine learning techniques. This study will abstract a large amount of detailed maternal, infant and fetal data from the electronic medical records of infants born at ≥ 36 weeks gestation in 2010-2020 at Kaiser Permanente Northern California.
MAESTRA: Maternal Antecedents of Encephalopathy in Term Infants
Investigator: Kuzniewicz, Michael
Funder: National Institute of Child Health and Human Development