Cargando…
Construction of artificial neural network diagnostic model and analysis of immune infiltration for periodontitis
Background: Periodontitis is a chronic inflammatory disease leading to tooth loss in severe cases, and early diagnosis is essential for periodontitis prevention. This study aimed to construct a diagnostic model for periodontitis using a random forest algorithm and an artificial neural network (ANN)....
Autores principales: | Xiang, Junwei, Huang, Wenkai, He, Yaodong, Li, Yunshan, Wang, Yuanyin, Chen, Ran |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9705329/ https://www.ncbi.nlm.nih.gov/pubmed/36457739 http://dx.doi.org/10.3389/fgene.2022.1041524 |
Ejemplares similares
-
TYK2 correlates with immune infiltration: A prognostic marker for head and neck squamous cell carcinoma
por: He, Yaodong, et al.
Publicado: (2022) -
PES1 is a biomarker of head and neck squamous cell carcinoma and is associated with the tumor microenvironment
por: He, Yaodong, et al.
Publicado: (2023) -
Construction of a neural network diagnostic model and investigation of immune infiltration characteristics for Crohn’s disease
por: Yang, Yufei, et al.
Publicado: (2022) -
Circular RNA-related CeRNA network and prognostic signature for patients with oral squamous cell carcinoma
por: He, Yaodong, et al.
Publicado: (2022) -
The Functional Mechanism of MicroRNA in Oral Lichen Planus
por: Li, Yunshan, et al.
Publicado: (2022)