Development and validation of machine learning-based risk prediction models of oral squamous cell carcinoma using salivary autoantibody biomarkers

INTRODUCTION: The incidence of oral cavity squamous cell carcinoma (OSCC) continues to rise. OSCC is associated with a low average survival rate, and most patients have a poor disease prognosis because of delayed diagnosis. We used machine learning techniques to predict high-risk cases of OSCC by us...

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Detalles Bibliográficos
Autores principales: Tseng, Yi-Ju, Wang, Yi-Cheng, Hsueh, Pei-Chun, Wu, Chih-Ching
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9685866/
https://www.ncbi.nlm.nih.gov/pubmed/36424594
http://dx.doi.org/10.1186/s12903-022-02607-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9685866/
https://www.ncbi.nlm.nih.gov/pubmed/36424594
http://dx.doi.org/10.1186/s12903-022-02607-2

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