Comparison of multiple machine learning models for predicting prognosis of pancreatic ductal adenocarcinoma based on contrast-enhanced CT radiomics and clinical features

Comparison of multiple machine learning models for predicting prognosis of pancreatic ductal adenocarcinoma based on contrast-enhanced CT radiomics and clinical features

ObjectiveThe aim of this study was to evaluate the prognostic potential of combining clinical features and radiomics with multiple machine learning (ML) algorithms in pancreatic ductal adenocarcinoma (PDAC).MethodsA total of 116 patients with PDAC who met the eligibility criteria were randomly assig...

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Bibliographic Details
Main Authors: Yue Huang, Han Zhang, Qingzhu Ding, Dehua Chen, Xiang Zhang, Shangeng Weng, Guozhong Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-11-01
Series:Frontiers in Oncology
Subjects:
pancreatic ductal adenocarcinoma
machine learning
inflammatory marker
radiomics
prognosis
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2024.1419297/full
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