A clinical risk prediction model to identify patients with hepatorenal syndrome at hospital admission

Author:

Koola Jejo D.123ORCID,Chen Guanhua4,Malin Bradley A.567,Fabbri Daniel57,Siew Edward D.18,Ho Samuel B.910,Patterson Olga V.1112,Matheny Michael E.15613

Affiliation:

1. Tennessee Valley Healthcare System (TVHS) Veterans Administration Medical Center Veteran’s Health Administration Nashville Tennessee

2. Division of Biomedical Informatics, Department of Medicine University of California San Diego California

3. Division of Hospital Medicine, Department of Medicine University of California San Diego California

4. Department of Biostatistics and Medical Informatics University of Wisconsin‐Madison Madison Wisconsin

5. Department of Biomedical Informatics Vanderbilt University Medical Center Nashville Tennessee

6. Department of Biostatistics Vanderbilt University Medical Center Nashville Tennessee

7. Department of Electrical Engineering and Computer Science Vanderbilt University Nashville Tennessee

8. Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt Center for Kidney Disease (VCKD) and Integrated Program for AKI Research (VIP‐AKI) Vanderbilt University Medical Center Nashville Tennessee

9. VA San Diego Healthcare System San Diego California

10. Division of Gastroenterology, Department of Medicine University of California San Diego California

11. Division of Epidemiology University of Utah Salt Lake City Utah

12. Veterans Affairs Salt Lake City Health Care System Salt Lake City Utah

13. Division of General Internal Medicine and Public Health, Department of Medicine Vanderbilt University Medical Center Nashville Tennessee

Funder

National Science Foundation

National Center for Advancing Translational Sciences

National Institutes of Health

U.S. Department of Veterans Affairs

Publisher

Hindawi Limited

Subject

General Medicine

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