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...
Kaydedildi:
| Asıl Yazarlar: | , , , , , |
|---|---|
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
SAGE Publishing
2025-12-01
|
| Seri Bilgileri: | Digital Health |
| Online Erişim: | https://doi.org/10.1177/20552076251404515 |
| Etiketler: |
Etiket eklenmemiş, İlk siz ekleyin!
|