Explainable machine learning for predicting distant metastases in renal cell carcinoma patients: a population-based retrospective study

Explainable machine learning for predicting distant metastases in renal cell carcinoma patients: a population-based retrospective study

BackgroundDistant metastasis is a key factor contributing to poor prognosis in renal cell carcinoma (RCC). Early prediction of metastasis is crucial for developing personalized treatment plans and improving patient outcomes. This study aimed to establish and validate a clinical prediction model for...

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Bibliographic Details
Main Authors: Zhao Hou, Peipei Wang, Dingyang Lv, Huiyu Zhou, Zhiwei Guo, Jinshuai Li, Mohan Jia, Hongyang Du, Weibing Shuang
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Medicine
Subjects:
renal cell carcinoma
distant metastasis
machine learning
predictive modeling
external validation
web-based calculator
Online Access:https://www.frontiersin.org/articles/10.3389/fmed.2025.1624198/full
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https://www.frontiersin.org/articles/10.3389/fmed.2025.1624198/full

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