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Predicting Rapid eGFR Decline Using Electronic Health Record (EHR) Data Despite High Missingness in the CURE-CKD Registry

Year: 2020

Type: conference-abstract

Source: Journal of the American Society of Nephrology

DOI: 10.1681/asn.20203110s1210c

Authors: Tyler A. Davis, Panayiotis Petousis, Davina J. Zamanzadeh, Xiaoyan Wang, Keith C. Norris, Obidiugwu Duru, Katherine R. Tuttle, Alex Bui, Susanne B. Nicholas, CURE-CKD Registry Study Team

Institution: University of California, Los Angeles

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

OpenAlex ID: W4396998514

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