Work

A framework for defining diagnostically challenging conditions identifiable through electronic algorithms

Year: 2025

Type: article

Source: Diagnosis

DOI: 10.1515/dx-2025-0034

Authors: Andrew P.J. Olson, Jennifer Sloane, Andrew Zimolzak, Bhavika Kaul, Viralkumar Vaghani, Roni Matin, Rosann T. Cholankeril, Hardeep Singh

Institutions: University of Minnesota, Michael E. DeBakey VA Medical Center, Baylor College of Medicine

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

Funders: U.S. Department of Veterans Affairs, Pulmonary Fibrosis Foundation, Agency for Healthcare Research and Quality

Awards: G1115751279, G5043011936, G5982887854, G7254132674

OpenAlex ID: W4415535408

FWCI:

Cites: 35

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