Work

Modeling Progression of Uremic Vasculopathy Using Machine Learning

Year: 2024

Type: article

Source: Journal of the American Society of Nephrology

DOI: 10.1681/asn.2024cmre8ge5

Authors: Adam E. Gaweda, Eleanor D. Lederer, Michael E. Brier

Institutions: University of Louisville, VA North Texas Health Care System, The University of Texas Southwestern Medical Center

Language: English

Topic: Parathyroid Disorders and Treatments

Subfield: Nephrology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4403832398

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