Predicting overall survival in chordoma patients using machine learning models: a web-app application

OBJECTIVE: The goal of this study was to evaluate the efficacy of machine learning (ML) techniques in predicting survival for chordoma patients in comparison with the standard Cox proportional hazards (CoxPH) model. METHODS: Using a Surveillance, Epidemiology, and End Results database of consecutive...

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Detalles Bibliográficos
Autores principales: Cheng, Peng, Xie, Xudong, Knoedler, Samuel, Mi, Bobin, Liu, Guohui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474690/
https://www.ncbi.nlm.nih.gov/pubmed/37660044
http://dx.doi.org/10.1186/s13018-023-04105-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474690/
https://www.ncbi.nlm.nih.gov/pubmed/37660044
http://dx.doi.org/10.1186/s13018-023-04105-9

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