作者
Yunlang She, Zhuochen Jin, Junqi Wu, Jiajun Deng, Lei Zhang, Hang Su, Gening Jiang, Haipeng Liu, Dong Xie, Nan Cao, Yijiu Ren, Chang Chen
发表日期
2020/6/1
期刊
JAMA network open
卷号
3
期号
6
页码范围
e205842-e205842
出版商
American Medical Association
简介
Importance
There is a lack of studies exploring the performance of a deep learning survival neural network in non–small cell lung cancer (NSCLC).
Objectives
To compare the performances of DeepSurv, a deep learning survival neural network with a tumor, node, and metastasis staging system in the prediction of survival and test the reliability of individual treatment recommendations provided by the deep learning survival neural network.
Design, Setting, and Participants
In this population-based cohort study, a deep learning–based algorithm was developed and validated using consecutive cases of newly diagnosed stages I to IV NSCLC between January 2010 and December 2015 in a Surveillance, Epidemiology, and End Results database. A total of 127 features, including patient characteristics, tumor stage, and treatment strategies, were assessed for analysis. The algorithm was externally validated on an …
学术搜索中的文章
Y She, Z Jin, J Wu, J Deng, L Zhang, H Su, G Jiang… - JAMA network open, 2020