@Article{info:doi/10.2196/28120,
author="Guedalia, Joshua
and Lipschuetz, Michal
and Cohen, Sarah M
and Sompolinsky, Yishai
and Walfisch, Asnat
and Sheiner, Eyal
and Sergienko, Ruslan
and Rosenbloom, Joshua
and Unger, Ron
and Yagel, Simcha
and Hochler, Hila",
title="Transporting an Artificial Intelligence Model to Predict Emergency Cesarean Delivery: Overcoming Challenges Posed by Interfacility Variation",
journal="J Med Internet Res",
year="2021",
month="Dec",
day="10",
volume="23",
number="12",
pages="e28120",
keywords="machine learning; algorithm transport; health outcomes; health care facilities; artificial intelligence; AI; ML; pregnancy; birth; pediatrics; neonatal; prenatal",
issn="1438-8871",
doi="10.2196/28120",
url="https://www.jmir.org/2021/12/e28120",
url="https://doi.org/10.2196/28120",
url="http://www.ncbi.nlm.nih.gov/pubmed/34890352"
}