Work

EHR phenotyping by Natural Language Processing improves detection of patients at risk for preeclampsia

Year: 2021

Type: article

Study design: Observational Study

Source: American Journal of Obstetrics and Gynecology

DOI: 10.1016/j.ajog.2021.11.131

Authors: Melissa S. Wong, Matthew Wells, Kristin Parrinella, Kimberly D. Gregory

Institution: Cedars-Sinai Medical Center

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: closed

OpenAlex ID: W4200525574

FWCI: 0.088

Cites:

Cited by: 2

Related to: 10