Development and validation of hybrid machine learning approach for predicting survival in patients with cervical cancer: a SEER-based population study

Development and validation of hybrid machine learning approach for predicting survival in patients with cervical cancer: a SEER-based population study

BackgroundAccurate survival prediction in cervical cancer is crucial for personalized therapy, particularly in high-risk groups where early intervention might enhance results. The study aims to create a hybrid survival model that integrates Cox Proportional Hazards (CoxPH) with Elastic Net regulariz...

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Bibliographic Details
Main Authors: Anjana Eledath Kolasseri, Venkataramana B.
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Oncology
Subjects:
cervical cancer
SEER database
machine learning
survival models
hybrid models
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2025.1605378/full
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