Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative study

Optimizing prognostic factors of five-year survival in gastric cancer patients using feature selection techniques with machine learning algorithms: a comparative study

Abstract Background Gastric cancer is the most common malignant tumor worldwide and a leading cause of cancer deaths. This neoplasm has a poor prognosis and heterogeneous outcomes. Survivability prediction may help select the best treatment plan based on an individual’s prognosis. Numerous clinical...

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Bibliographic Details
Main Authors: Mohammad Reza Afrash, Esmat Mirbagheri, Mehrnaz Mashoufi, Hadi Kazemi-Arpanahi
Format: Article
Language:English
Published: BMC 2023-04-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Feature selection
Gastric cancer survival
Machine learning
Benchmarking
Online Access:https://doi.org/10.1186/s12911-023-02154-y

Internet

https://doi.org/10.1186/s12911-023-02154-y

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