Development of a Deep Learning Model for Malignant Small Bowel Tumors Survival: A SEER-Based Study

Development of a Deep Learning Model for Malignant Small Bowel Tumors Survival: A SEER-Based Study

<b>Background</b> This study aims to explore a deep learning (DL) algorithm for developing a prognostic model and perform survival analyses in SBT patients. <b>Methods</b> The demographic and clinical features of patients with SBTs were extracted from the Surveillance, Epidem...

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Bibliographic Details
Main Authors: Minyue Yin, Jiaxi Lin, Lu Liu, Jingwen Gao, Wei Xu, Chenyan Yu, Shuting Qu, Xiaolin Liu, Lijuan Qian, Chunfang Xu, Jinzhou Zhu
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Diagnostics
Subjects:
DeepSurv
Cox proportional hazards
survival analysis
small bowel tumors
SEER database
Online Access:https://www.mdpi.com/2075-4418/12/5/1247

Internet

https://www.mdpi.com/2075-4418/12/5/1247

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