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Prediction of Kidney Failure Using Multiple Data Domains in Glomerulo-nephropathy: A CureGN Study

Year: 2023

Type: conference-abstract

Source: Journal of the American Society of Nephrology

DOI: 10.1681/asn.20233411s16a

Authors: Laura H. Mariani, Sarah Mansfield, Abigail R. Smith, Katherine R. Tuttle, CureGN Machine Learning Writing Group.

Institutions: University of Michigan, Arbor Research Collaborative for Health, University of Washington

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: W4397041689

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