Work

Deep learning to predict fetal acidemia: a response

Year: 2024

Type: article

Source: American Journal of Obstetrics and Gynecology

DOI: 10.1016/j.ajog.2024.07.037

Authors: Jennifer A. McCoy, William G. La Cava

Institutions: University of Pennsylvania, 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: Society For Maternal-Fetal Medicine, National Institute of Child Health and Human Development

OpenAlex ID: W4401047460

FWCI: 0.295

Cites: 5

Cited by: 2

Related to: 10