Work

Intrapartum electronic fetal heart rate monitoring to predict acidemia at birth with the use of deep learning

Year: 2024

Type: article

Source: American Journal of Obstetrics and Gynecology

DOI: 10.1016/j.ajog.2024.04.022

Authors: Jennifer A. McCoy, Lisa D. Levine, Guangya Wan, Corey Chivers, Joseph Teel, William G. La Cava

Institutions: University of Pennsylvania, University of Virginia, Boston Children's Hospital, Harvard University

Language: English

Topic: Machine Learning in Healthcare

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: National Institutes of Health, Eunice Kennedy Shriver National Institute of Child Health and Human Development

Awards: Reproductive Epidemiology Training Grant, G370907188, G8691192057, The Penn Center for Career Development in Women's Health Research

OpenAlex ID: W4395084382

FWCI: 4.864

Cites: 40

Cited by: 33

Related to: 10