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Predicting Renal Function Decline From Readily Available Clinical Variables in Electronic Health Records Using Machine Learning

Year: 2022

Type: conference-abstract

Source: Journal of the American Society of Nephrology

DOI: 10.1681/asn.20223311s1863a

Authors: Roy O. Mathew, Brendan E. Odigwe, Sujay D. Paudel, Celestine I. Odigwe, Enrica Fung, Sayna Norouzi, Sergio Infante, Amir Abdi Pour, Janani Rangaswami, Homayoun Valafar

Institutions: Loma Linda University, VA Loma Linda Healthcare System, University of South Carolina, Loma Linda University Health Care, George Washington University

Language: English

Topic: Chronic Kidney Disease and Diabetes

Subfield: Nephrology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4397046572

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