Work

Machine Learning Models to Predict 24 Hour Urinary Abnormalities for Kidney Stone Disease

Year: 2022

Type: article

Source: Urology

DOI: 10.1016/j.urology.2022.07.008

Authors: Nicholas L. Kavoussi, Chase Floyd, Abin Abraham, Wilson Sui, Cosmin Bejan, John A. Capra, Ryan Hsi

Institutions: Vanderbilt University Medical Center, University of South Carolina, Vanderbilt University, University of California, San Francisco

Language: English

Topic: Kidney Stones and Urolithiasis Treatments

Subfield: Pulmonary and Respiratory Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Institutes of Health, National Center for Advancing Translational Sciences

Award: The Vanderbilt Institute for Clinical and Translational Research (VICTR)

OpenAlex ID: W4285601120

FWCI: 4.191

Cites: 16

Cited by: 30

Related to: 10