Development and validation of a deep learning survival model for cervical adenocarcinoma patients

BACKGROUND: The aim was to develop a personalized survival prediction deep learning model for cervical adenocarcinoma patients and process personalized survival prediction. METHODS: A total of 2501 cervical adenocarcinoma patients from the surveillance, epidemiology and end results database and 220...

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Detalles Bibliográficos
Autores principales: Li, Ruowen, Qu, Wenjie, Liu, Qingqing, Tan, Yilin, Zhang, Wenjing, Hao, Yiping, Jiang, Nan, Mao, Zhonghao, Ye, Jinwen, Jiao, Jun, Gao, Qun, Cui, Baoxia, Dong, Taotao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10103498/
https://www.ncbi.nlm.nih.gov/pubmed/37055729
http://dx.doi.org/10.1186/s12859-023-05239-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10103498/
https://www.ncbi.nlm.nih.gov/pubmed/37055729
http://dx.doi.org/10.1186/s12859-023-05239-7

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