Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Development of a salivary autoantibody biomarker panel for diagnosis of oral cavity squamous cell carcinoma
por: Hsueh, Pei-Chun, et al.
Publicado: (2022) -
Salivary biomarkers in oral squamous cell carcinoma
por: Nguyen, Truc Thi Hoang, et al.
Publicado: (2020) -
Autoantibodies as Potential Biomarkers for the Early Detection of Esophageal Squamous Cell Carcinoma
por: Xu, Yi-Wei, et al.
Publicado: (2014) -
Identification of potential salivary biomarker panels for oral squamous cell carcinoma
por: Jain, Anu, et al.
Publicado: (2021) -
Salivary Biomarkers in Oral Squamous Cell Carcinoma: A Proteomic Overview
por: Riccardi, Gabriele, et al.
Publicado: (2022)