Interpretable deep learning survival predictive tool for small cell lung cancer

Interpretable deep learning survival predictive tool for small cell lung cancer

BackgroundSmall cell lung cancer (SCLC) is an aggressive and almost universally lethal neoplasm. There is no accurate predictive method for its prognosis. Artificial intelligence deep learning may bring new hope.MethodsBy searching the Surveillance, Epidemiology, and End Results database (SEER), 21,...

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Bibliographic Details
Main Authors: Dongrui Zhang, Baohua Lu, Bowen Liang, Bo Li, Ziyu Wang, Meng Gu, Wei Jia, Yuanming Pan
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-05-01
Series:Frontiers in Oncology
Subjects:
neural network
deep learning
predictive model
clinical tool
small cell lung cancer
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1162181/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2023.1162181/full

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