Comparative study of five-year cervical cancer cause-specific survival prediction models based on SEER data

Abstract Cervical cancer (CC) is a major cause of mortality in women, with stagnant survival rates, highlighting the need for improved prognostic models. This study aims to develop and compare machine learning models for predicting five-year cause-specific survival (CSS) in CC patients and evaluate...

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Bibliographic Details
Main Authors: Yuping Pu, Jundong Liu, Kei Hang Katie Chan
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-025-04540-0
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