Machine learning approaches for survival prediction and risk-stratified treatment guidance in synchronous metastatic nasopharyngeal carcinoma: A multicenter study

Objective Synchronous metastatic nasopharyngeal carcinoma (smNPC) demonstrates marked prognostic heterogeneity, which cannot be captured by conventional Cox proportional hazards (CoxPH) models owing to their limitations in managing complex, nonlinear relationships. We employed various machine learni...

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Hlavní autoři:	Dan Long, Ziqing Yang, Zhichao Zuo, Xiaoyi Zeng, Jie Ma, Yang Liu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	SAGE Publishing 2025-12-01
Edice:	Digital Health
On-line přístup:	https://doi.org/10.1177/20552076251404515
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