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Application of Machine Learning for Predicting Progression‐Free and Overall Survival in Patients With Renal Cell Carcinoma

ABSTRACT Patient outcomes in advanced renal cell carcinoma (RCC) remain poor, with five‐year survival rates ranging from ~10% to 30%. Early projections of therapeutic outcomes could optimize precision medicine and accelerate drug development. While machine learning (ML) models integrating tumor grow...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Caroline W. Grant, Jerry Li, Swan Lin, Dana Nickens, Daniele Ouellet, Mohamed H. Shahin
Format: Artigo
Sprache:Inglês
Veröffentlicht: Wiley 2025-10-01
Schriftenreihe:Clinical and Translational Science
Schlagworte:
machine learning
overall survival
prediction
progression‐free survival
random forest
random survival forest
Online-Zugang:https://doi.org/10.1111/cts.70348
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