Interpretable machine learning models for survival prediction in prostate cancer bone metastases

Interpretable machine learning models for survival prediction in prostate cancer bone metastases

Abstract Prostate cancer bone metastasis (PCBM) is a highly lethal condition with limited survival. Accurate survival prediction is essential for managing these typically incurable patients. However, existing clinical models lack precision. This study seeks to establish machine learning models to im...

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Bibliographic Details
Main Authors: Hua Zhang, Bingtian Dong, Jialin Han, Lewen Huang
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Prostate cancer
Bone metastasis
Survival prediction
XGBoost
SEER
Online Access:https://doi.org/10.1038/s41598-025-09691-8
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https://doi.org/10.1038/s41598-025-09691-8

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