Comparison of Random Survival Forest Based‐Overall Survival With Deep Learning and Cox Proportional Hazard Models in HER‐2‐Positive HR‐Negative Breast Cancer

Comparison of Random Survival Forest Based‐Overall Survival With Deep Learning and Cox Proportional Hazard Models in HER‐2‐Positive HR‐Negative Breast Cancer

ABSTRACT Background Traditional CoxPH models are limited in handling real‐world data complexities. While machine learning models like RSF and DeepSurv show promise, their application and comparative evaluation in the HER2‐positive/HR‐negative breast cancer subtype require further validation. Aims Th...

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Bibliographic Details
Main Authors: Wenqi Cai, Yan Qi, Linhui Zheng, Huachao Wu, Chunqian Yang, Runze Zhang, Chaoyan Wu, Haijun Yu
Format: Article
Language:English
Published: Wiley 2025-07-01
Series:Cancer Reports
Subjects:
breast cancer
CoxPH
Deepsurv
RSF
RSF‐VIMP
Online Access:https://doi.org/10.1002/cnr2.70262
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https://doi.org/10.1002/cnr2.70262

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