Work

A Machine Learning Algorithm Avoids Unnecessary Paracentesis for Exclusion of SBP in Cirrhosis in Resource-limited Settings

Year: 2024

Type: article

Source: Clinical Gastroenterology and Hepatology

DOI: 10.1016/j.cgh.2024.06.015

Authors: Scott Silvey, Nilang Patel, Jinze Liu, Asiya Tafader, Mahum Nadeem, Galvin Dhaliwal, Jacqueline G. O’Leary, Heather Patton, Timothy R. Morgan, Shari Rogal, Jasmohan S. Bajaj

Institutions: Virginia Commonwealth University, Hunter Holmes McGuire VA Medical Center, Virginia Commonwealth University Medical Center, Dallas VA Medical Center, The University of Texas Southwestern Medical Center, University of California San Diego, University of California San Diego Medical Center, VA Long Beach Healthcare System, University of Pittsburgh Medical Center

Language: English

Topic: Liver Disease and Transplantation

Subfield: Hepatology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

Funders: VanEd, U.S. Department of Veterans Affairs, National Institutes of Health, Agency for Healthcare Research and Quality, National Institute on Alcohol Abuse and Alcoholism, National Center for Advancing Translational Sciences

Awards: G1290129083, G156308804, G3479891709, G8396348928, Wright Regional Center for Clinical and Translational Science, Fecal microbiota transplant for Alcohol-Associated Cirrhosis

OpenAlex ID: W4399833162

FWCI: 1.047

Cites: 33

Cited by: 4

Related to: 10