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Using Machine Learning to Preoperatively Stratify Prognosis among Patients with Gallbladder Cancer: A Multi-Institutional Analysis

Year: 2022

Type: article

Study design: Observational Study

Source: HPB

DOI: 10.1016/j.hpb.2022.05.1032

Authors: G. Cotter, E.W. Beal, G.A. Poultsides, K. Idrees, R.C. Fields, S.M. Weber, C.R. Scoggins, P. Shen, I. Hatzaras, S.K. Maithel, T.M. Pawlik

Institutions: The Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, The Ohio State University, Stanford Medicine, Stanford University, Vanderbilt University, Washington University in St. Louis, University of Wisconsin–Madison, University of Louisville, Wake Forest University Health Sciences, Wake Forest University, New York University, Emory University

Language: English

Topic: Cholangiocarcinoma and Gallbladder Cancer Studies

Subfield: Surgery

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

OpenAlex ID: W4313009393

FWCI: 0.211

Cites:

Cited by: 1

Related to: 10