Article

Evaluating Temporal Dynamics in Breast Cancer Survival Predictions with Machine Learning and Cox Regression Analysis

2025-03-04

Abstract excerpt

<title>Abstract</title> <p>Accurate prediction of breast cancer-specific survival is crucial for guiding personalized treatment decisions and improving patient outcomes. This study evaluated the performance of machine learning approaches (Random Survival Forest, RSF and Generalized Boosted Model, GBM) alongside traditional Cox proportional hazards models for predicting survival in 21,574 women diagnosed with stag...

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Literature Corpus work: 6ca02610-a9d7-5ca6-baa8-1bf731098cff
DOI: 10.21203/rs.3.rs-5515692/v1

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