Clinical significance of risk factor analysis in pancreatic cancer by using supervised model of machine learning

Clinical significance of risk factor analysis in pancreatic cancer by using supervised model of machine learning

IntroductionPancreatic cancer (PC) poses a significant global health challenge due to its aggressive nature, late-stage diagnosis, and high mortality despite advancements in treatment. Early detection remains crucial for timely intervention. This study aimed to identify clinically relevant predictor...

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Main Authors: Amir Sherchan, Feng Jin, Bhakti Sherchan, Sujit Kumar Mandal, Binit Upadhaya Regmi, Ranita Ghising, Sandesh Raj Upadhaya, Bishnu Gautam, Dipendra Pathak, Maoquan Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Medicine
Subjects:
pancreatic cancer
risk factors
risk scoring
machine learning
supervised model
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1551926/full
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https://www.frontiersin.org/articles/10.3389/fmed.2025.1551926/full

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