A logistic regression model to predict long-term survival for borderline resectable pancreatic cancer patients with upfront surgery

A logistic regression model to predict long-term survival for borderline resectable pancreatic cancer patients with upfront surgery

Abstract Background The machine learning model, which has been widely applied in prognosis assessment, can comprehensively evaluate patient status for accurate prognosis classification. There still has been a debate about which predictive strategy is better in patients with borderline resectable pan...

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Bibliographic Details
Main Authors: Jin-Can Huang, Shao-Cheng Lyu, Bing Pan, Han-Xuan Wang, You-Wei Ma, Tao Jiang, Qiang He, Ren Lang
Format: Article
Language:English
Published: BMC 2025-02-01
Series:Cancer Imaging
Subjects:
Borderline resectable pancreatic cancer
Risk factor
Upfront surgery
Nomogram
Logistic regression model
Machine learning
Online Access:https://doi.org/10.1186/s40644-025-00830-y
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https://doi.org/10.1186/s40644-025-00830-y

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