Developing algorithms for identifying major structural birth defects using automated electronic health data.

Elyse O KharbandaGabriela Vazquez-BenitezMalini B DeSilvaAlicen B SpauldingMatthew F DaleyAllison L NalewayStephanie A IrvingNicola P KleinHung Fu TsengLisa A JacksonSimon J HambidgeOluwatosin OlaiyaCatherine A PanozzoTanya R MyersPaul A Romitti

Published in: Pharmacoepidemiology and drug safety (2020)

Algorithms can identify infants with selected BDs using automated healthcare data with reasonable accuracy. Our updated algorithms can be used in observational studies of maternal vaccine safety and may be adapted for use in other surveillance systems.

Keyphrases

machine learning
deep learning
big data
healthcare
artificial intelligence
public health
electronic health record
high throughput
pregnancy outcomes
health information
gestational age
pregnant women
birth weight
physical activity
risk assessment
single cell
body mass index
weight loss