Multi-institutional development and external validation of machine learning-based models to predict relapse risk of pancreatic ductal adenocarcinoma after radical resection

Multi-institutional development and external validation of machine learning-based models to predict relapse risk of pancreatic ductal adenocarcinoma after radical resection

Abstract Background Surgical resection is the only potentially curative treatment for pancreatic ductal adenocarcinoma (PDAC) and the survival of patients after radical resection is closely related to relapse. We aimed to develop models to predict the risk of relapse using machine learning methods b...

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Bibliographic Details
Main Authors: Xiawei Li, Litao Yang, Zheping Yuan, Jianyao Lou, Yiqun Fan, Aiguang Shi, Junjie Huang, Mingchen Zhao, Yulian Wu
Format: Article
Language:English
Published: BMC 2021-06-01
Series:Journal of Translational Medicine
Subjects:
Machine learning
PDAC
Relapse
Prediction model
Radical surgery
Online Access:https://doi.org/10.1186/s12967-021-02955-7

Internet

https://doi.org/10.1186/s12967-021-02955-7

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