Critical appraisal of machine learning prognostic models for acute pancreatitis: protocol for a systematic review

Critical appraisal of machine learning prognostic models for acute pancreatitis: protocol for a systematic review

Abstract Acute pancreatitis (AP) is an acute inflammatory disorder that is common, costly, and is increasing in incidence worldwide with over 300,000 hospitalizations occurring yearly in the United States alone. As its course and outcomes vary widely, a critical knowledge gap in the field has been a...

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Bibliographic Details
Main Authors: Amier Hassan, Brian Critelli, Ila Lahooti, Ali Lahooti, Nate Matzko, Jan Niklas Adams, Lukas Liss, Justin Quion, David Restrepo, Melica Nikahd, Stacey Culp, Lydia Noh, Kathleen Tong, Jun Sung Park, Venkata Akshintala, John A. Windsor, Nikhil K. Mull, Georgios I. Papachristou, Leo Anthony Celi, Peter J. Lee
Format: Article
Language:English
Published: BMC 2024-04-01
Series:Diagnostic and Prognostic Research
Online Access:https://doi.org/10.1186/s41512-024-00169-1

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https://doi.org/10.1186/s41512-024-00169-1

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