Improve individual treatment by comparing treatment benefits: cancer artificial intelligence survival analysis system for cervical carcinoma

PURPOSE: The current study aimed to construct a novel cancer artificial intelligence survival analysis system for predicting the individual mortality risk curves for cervical carcinoma patients receiving different treatments. METHODS: Study dataset (n = 14,946) was downloaded from Surveillance Epide...

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Detalles Bibliográficos
Autores principales: Liang, Jieyi, He, Tingshan, Li, Hong, Guo, Xueqing, Zhang, Zhiqiao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9238034/
https://www.ncbi.nlm.nih.gov/pubmed/35765031
http://dx.doi.org/10.1186/s12967-022-03491-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9238034/
https://www.ncbi.nlm.nih.gov/pubmed/35765031
http://dx.doi.org/10.1186/s12967-022-03491-8

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