Work

Early Prediction of Acute Kidney Injury in the Emergency Department With Machine-Learning Methods Applied to Electronic Health Record Data

Year: 2020

Type: article

Study design: Observational Study

Source: Annals of Emergency Medicine

DOI: 10.1016/j.annemergmed.2020.05.026

Authors: Diego A. Martinez, Scott R. Levin, Eili Y. Klein, Chirag R. Parikh, Steven Menez, Richard A. Taylor, Jeremiah S. Hinson

Institutions: Johns Hopkins University, Center for Disease Dynamics, Economics & Policy, Yale University

Language: English

Topic: Acute Kidney Injury Research

Subfield: Nephrology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: National Science Foundation, Johns Hopkins University, Emergency Medicine Foundation, National Institutes of Health, Centers for Disease Control and Prevention, Agency for Healthcare Research and Quality

Award: G6533587081

OpenAlex ID: W3045231068

FWCI: 5.178

Cites: 70

Cited by: 61

Related to: 10