Development of algorithms to determine the onset of pregnancy and delivery date using health care administrative data in a university hospital in Japan.

Tomofumi IshikawaTaku ObaraHidekazu NishigoriKeiko MiyakodaRyusuke InoueTetsuro HoshiaiMasatoshi SaitoNobuo YaegashiNariyasu Mano

Published in: Pharmacoepidemiology and drug safety (2018)

The algorithms developed in this study are expected to accelerate future studies for real-world exposure and quantify drug safety during pregnancy using Japanese health care administrative databases.

Keyphrases

healthcare
machine learning
big data
deep learning
preterm birth
artificial intelligence
emergency department
current status
pregnant women
pregnancy outcomes
adverse drug
case control
data analysis
social media
affordable care act