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

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

Abstract 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 a...

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Bibliographic Details
Main Authors: Ruowen Li, Wenjie Qu, Qingqing Liu, Yilin Tan, Wenjing Zhang, Yiping Hao, Nan Jiang, Zhonghao Mao, Jinwen Ye, Jun Jiao, Qun Gao, Baoxia Cui, Taotao Dong
Format: Article
Language:English
Published: BMC 2023-04-01
Series:BMC Bioinformatics
Subjects:
Adenocarcinoma of cervix
Survival prediction
Deep learning
SEER database
Online Access:https://doi.org/10.1186/s12859-023-05239-7

Internet

https://doi.org/10.1186/s12859-023-05239-7

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