Exploring the potential of machine learning in gastric cancer: prognostic biomarkers, subtyping, and stratification

Exploring the potential of machine learning in gastric cancer: prognostic biomarkers, subtyping, and stratification

Abstract Background Advancements in the management of gastric cancer (GC) and innovative therapeutic approaches highlight the significance of the role of biomarkers in GC prognosis. Machine-learning (ML)-based methods can be applied to identify the most important predictors and unravel their interac...

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Bibliographic Details
Main Authors: Haniyeh Rafiepoor, Mohammad M. Banoei, Alireza Ghorbankhanloo, Ahad Muhammadnejad, Amirhossein Razavirad, Saeed Soleymanjahi, Saeid Amanpour
Format: Article
Language:English
Published: BMC 2025-04-01
Series:BMC Cancer
Subjects:
Gastric cancer
Prediction model
Machine learning
Immunohistochemistry
Mortality
Online Access:https://doi.org/10.1186/s12885-025-14204-x
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