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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...
Autores principales: | Liang, Jieyi, He, Tingshan, Li, Hong, Guo, Xueqing, Zhang, Zhiqiao |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
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 |
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