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...

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Detalles Bibliográficos
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:
Research Article
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

Internet

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

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