Prevalence of Gastroparesis in Chronic Pancreatitis and Predictive Factors: A Machine Learning Prediction Model

Daryl Ramai; Chun-Wei Pan; David M. Troendle; Marcello Maida; Antonio Facciorusso; Jorge D. Machicado; Emily Fellows; Yichen Wang; Yuting Huang; Ishani Shah; Marco Spadaccini; Saurabh Chandan; Cem Simsek; Pancreatology Working Group

doi:10.1016/j.cgh.2024.09.023

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Prevalence of Gastroparesis in Chronic Pancreatitis and Predictive Factors: A Machine Learning Prediction Model

Journal article

Peer reviewed

Prevalence of Gastroparesis in Chronic Pancreatitis and Predictive Factors: A Machine Learning Prediction Model

Daryl Ramai, Chun-Wei Pan, David M. Troendle, Marcello Maida, Antonio Facciorusso, Jorge D. Machicado, Emily Fellows, Yichen Wang, Yuting Huang, Ishani Shah, …

Clinical gastroenterology and hepatology

10/2024

DOI: https://doi.org/10.1016/j.cgh.2024.09.023

Abstract

chronic pancreatitis

gastroparesis

nomogram

prediction model

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Title: Prevalence of Gastroparesis in Chronic Pancreatitis and Predictive Factors: A Machine Learning Prediction Model
Creators: Daryl Ramai - Brigham and Women's Hospital
Chun-Wei Pan - Department of Internal Medicine, Cook County Health, Chicago, Il, USA
David M. Troendle - The University of Texas Southwestern Medical Center
Marcello Maida - Gastroenterology Unit, Umberto I Hospital Enna, Italy
Antonio Facciorusso - University of Foggia
Jorge D. Machicado - University of Michigan–Ann Arbor
Emily Fellows
Yichen Wang
Yuting Huang
Ishani Shah
Marco Spadaccini
Saurabh Chandan
Cem Simsek
Pancreatology Working Group
Publication Details: Clinical gastroenterology and hepatology
Publisher: Elsevier Inc
Identifiers: 991006121166302656
Academic Unit: Gastroenterology
Language: English
Resource Type: Journal article

Prevalence of Gastroparesis in Chronic Pancreatitis and Predictive Factors: A Machine Learning Prediction Model

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