The predictive value of modified-DeepSurv in overall survivals of patients with lung cancer

doi:10.1016/j.isci.2023.108200

科研成果详情

题名	The predictive value of modified-DeepSurv in overall survivals of patients with lung cancer
作者	Lei, Jie 1; Xu, Xin 2; Xu, Junrui 3; Liu, Jia 4; Wang, Yi5; Wu, Chao 6,7; Zhang, Renquan 3; Zhang, Zhemin 2; Jiang, Tao 1
发表日期	2023-11-17
发表期刊	iScience; 影响因子和分区
语种	英语
原始文献类型	Article
关键词	Applied computing in medical science Diagnostics
其他关键词	CELL ; VALIDATION ; NOMOGRAM
摘要	The traditional prognostic model may induce the possibility of incorrect assessment of mortality risk under the assumption of linearity. It is urgent to develop a non-linearity precise prognostic model for achieving personalized medicine in lung cancer. In our study, we develop and validate a prognostic model “Modified-DeepSurv” for patients with lung carcinoma based on deep learning and evaluate its value for prognosis, while Cox proportional hazard regression was used to develop another model “CPH.” The C-index of the Modified-DeepSurv and CPH was 0.956 (95% confidence interval [CI]: 0.946–0.974) and 0.836 (95% CI: 0.774–0.896), respectively, in the training cohort, while the C-index of the Modified-DeepSurv and CPH was 0.932 (95%CI: 0.908–0.964) and 0.777 (95%CI: 0.633–0.919), respectively, in the test dataset. The Modified-DeepSurv model visualization was realized by a user-friendly graphic interface. Modified-DeepSurv can effectively predict the survival of lung cancer patients and is superior to the conventional CPH model.
资助项目	National Natural Science Foundation of China [52172285]
出版者	CELL PRESS
ISSN	2589-0042
EISSN	2589-0042
卷号	26 期号:11
DOI	10.1016/j.isci.2023.108200
页数	12
WOS类目	Multidisciplinary Sciences
WOS研究方向	Science & Technology - Other Topics
WOS记录号	WOS:001111922500001
收录类别	SCOPUS ; PUBMED ; SCIE
在线发表日期	2023-11
URL	查看原文
PubMed ID	38033628
SCOPUSEID	2-s2.0-85176218767
通讯作者地址	[Zhang, Renquan]Department of Thoracic Surgery,First Affiliated Hospital of Anhui Medical University,Hefei,230022,China ; [Zhang, Zhemin]Department of Respiratory Medicine,Shanghai Pulmonary Hospital,School of Medicine,Tongji University,Shanghai,200433,China ; [Jiang, Tao]Department of Thoracic Surgery,The Second Affiliated Hospital,Air Force Medical University,Xi'an,710038,China
Scopus学科分类	Multidisciplinary
引用统计
文献类型	期刊论文
条目标识符	https://kms.wmu.edu.cn/handle/3ETUA0LF/184652
专题	公共卫生学院
通讯作者	Zhang, Renquan; Zhang, Zhemin; Jiang, Tao
作者单位	1.Department of Thoracic Surgery,The Second Affiliated Hospital,Air Force Medical University,Xi'an,710038,China; 2.Department of Respiratory Medicine,Shanghai Pulmonary Hospital,School of Medicine,Tongji University,Shanghai,200433,China; 3.Department of Thoracic Surgery,First Affiliated Hospital of Anhui Medical University,Hefei,230022,China; 4.Operations Management Department,People's Hospital of Xinjiang Uygur Autonomous Region,No. 91 Tianchi Road, Tianshan District,Urumqi,830001,China; 5.Department of Epidemiology and Biostatistics,School of Public Health and Management,Wenzhou Medical University,Wenzhou,325035,China; 6.Department of Respiratory and Critical Care Medicine,People's Hospital of Xinjiang Uygur Autonomous Region,No. 91 Tianchi Road, Tianshan District,Urumqi,830001,China; 7.Xinjiang Clinical Research Center for Interstitial Lung Diseases,People's Hospital of Xinjiang Uygur Autonomous Region,No. 91 Tianchi Road, Tianshan District,Urumqi,830001,China
推荐引用方式 GB/T 7714	Lei, Jie,Xu, Xin,Xu, Junrui,et al. The predictive value of modified-DeepSurv in overall survivals of patients with lung cancer[J]. iScience;,2023,26(11).
APA	Lei, Jie., Xu, Xin., Xu, Junrui., Liu, Jia., Wang, Yi., ... & Jiang, Tao. (2023). The predictive value of modified-DeepSurv in overall survivals of patients with lung cancer. iScience;, 26(11).
MLA	Lei, Jie,et al."The predictive value of modified-DeepSurv in overall survivals of patients with lung cancer".iScience; 26.11(2023).