Deep-learning model for predicting the survival of rectal adenocarcinoma patients based on a surveillance, epidemiology, and end results analysis

Abstract Background We collected information on patients with rectal adenocarcinoma in the United States from the Surveillance, Epidemiology, and EndResults (SEER) database. We used this information to establish a model that combined deep learning with a multilayer neural network (the DeepSurv model...

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Bibliographic Details
Main Authors: Haohui Yu, Tao Huang, Bin Feng, Jun Lyu
Format: Article
Language:English
Published: BMC 2022-02-01
Series:BMC Cancer
Subjects:
Online Access:https://doi.org/10.1186/s12885-022-09217-9