Development and validation of claims-based algorithms to identify pregnancy based on data from a university hospital in Japan.

Kentaro Tajima Tomofumi IshikawaAoi NodaFumiko MatsuzakiKei MorishitaRyusuke InoueNoriyuki IwamaHidekazu NishigoriJunichi SugawaraMasatoshi SaitoTaku ObaraNariyasu Mano

Published in: Current medical research and opinion (2022)

The combination algorithm to identify pregnancy demonstrated a high PPV and moderate SE. The algorithm validated in this study is expected to accelerate future studies that aim to identify pregnancies and evaluate pregnancy outcome.

Keyphrases

preterm birth
machine learning
pregnancy outcomes
deep learning
big data
pregnant women
gestational age
health insurance
high intensity
artificial intelligence
case control