Work

1015 Predicting Post-liver Transplant (lt) Outcomes in Acute-on-chronic Liver Failure (aclf) Patients Using Expert-augmented Machine Learning (eaml)

Year: 2023

Type: article

Study design: Observational Study

Source: Gastroenterology

DOI: 10.1016/s0016-5085(23)03961-6

Authors: Jin Ge, Jean C. Digitale, Charles E. McCulloch, Mark J. Pletcher, Jennifer C. Lai, Efstathios D. Gennatas

Language: English

Topic: Liver Disease and Transplantation

Subfield: Hepatology

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

OpenAlex ID: W4383384494

FWCI:

Cites:

Cited by:

Related to: 10