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Machine Learning to Enhance Electronic Detection of Diagnostic Errors

Year: 2024

Type: article

Abstract: This cohort study examines whether machine learning (ML) can enhance the ability of electronic triggers to identify possible missed opportunities in diagnosis.

Source: JAMA Network Open

DOI: 10.1001/jamanetworkopen.2024.31982

Authors: Andrew J. Zimolzak, Li Wei, Usman Mir, Ashish Gupta, Viralkumar Vaghani, Devika Subramanian, Hardeep Singh

Institutions: Michael E. DeBakey VA Medical Center, Baylor College of Medicine, Rice 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: gold

Estimated APC paid: $3,000

Funder: Agency for Healthcare Research and Quality

Award: G2946320177

OpenAlex ID: W4402357060

FWCI: 2.07

Cites: 5

Cited by: 14

Related to: 10