Cargando…
Artificial intelligence predictive system of individual survival rate for lung adenocarcinoma
BACKGROUND: The current research aimed to develop an artificial intelligence predictive system for individual survival rate of lung adenocarcinoma (LUAD). METHODS: Independent risk variables were identified by multivariate Cox regression. Artificial intelligence predictive system was constructed usi...
Autores principales: | He, Tingshan, Li, Jing, Wang, Peng, Zhang, Zhiqiao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9123088/ https://www.ncbi.nlm.nih.gov/pubmed/35615023 http://dx.doi.org/10.1016/j.csbj.2022.05.005 |
Ejemplares similares
-
Immune gene prognostic signature for disease free survival of gastric cancer: Translational research of an artificial intelligence survival predictive system
por: Zhang, Zhiqiao, et al.
Publicado: (2021) -
Potential Prognostic Immune Biomarkers of Overall Survival in Ovarian Cancer Through Comprehensive Bioinformatics Analysis: A Novel Artificial Intelligence Survival Prediction System
por: He, Tingshan, et al.
Publicado: (2021) -
Improve individual treatment by comparing treatment benefits: cancer artificial intelligence survival analysis system for cervical carcinoma
por: Liang, Jieyi, et al.
Publicado: (2022) -
Bioinformatics Identified 17 Immune Genes as Prognostic Biomarkers for Breast Cancer: Application Study Based on Artificial Intelligence Algorithms
por: Zhang, Zhiqiao, et al.
Publicado: (2020) -
Comprehensive bioinformatics analysis reveals potential lncRNA biomarkers for overall survival in patients with hepatocellular carcinoma: an on-line individual risk calculator based on TCGA cohort
por: Zhang, Zhiqiao, et al.
Publicado: (2019)