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...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2022-02-01
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Series: | BMC Cancer |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12885-022-09217-9 |