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Dynamic Predictive Models with Visualized Machine Learning for Assessing the Risk of Lung Metastasis in Kidney Cancer Patients

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成果类型:
期刊论文
作者:
Xu, Chan;Zhou, Qian;Liu, Wencai;Li, Wenle;Dong, Shengtao;...
通讯作者:
Shengtao Dong<&wdkj&>Wanying Li<&wdkj&>Wenle Li<&wdkj&>Jingfang Chen<&wdkj&>Chengliang Yin<&wdkj&>Ximin Qiao<&wdkj&>Chan Xu<&wdkj&>Xiaofeng Xu<&wdkj&>Youli Jiang<&wdkj&>Qian Zhou<&wdkj&>Wencai Liu
作者机构:
[Xu, Xiaofeng; Li, Wanying; Qiao, Ximin; Xu, Chan] Xianyang Cent Hosp, Clin Med Res Ctr, Xianyang, Peoples R China.
[Zhou, Qian] First Peoples Hosp Chong Qing Liang Jiang New Area, Dept Resp & Crit Care Med, Chongqing, Peoples R China.
[Liu, Wencai] Nanchang Univ, Affiliated Hosp 1, Dept Orthopaed Surg, Nanchang, Peoples R China.
[Li, Wenle] Xiamen Univ, Mol Imaging & Translat Med Res Ctr, State Key Lab Mol Vaccinol & Mol Diagnost, Xiamen, Peoples R China.
[Dong, Shengtao] Dalian Med Univ, Affiliated Hosp 2, Dept Spine Surg, Dalian 116000, Peoples R China.
通讯机构:
[Shengtao Dong; Qian Zhou; Wencai Liu] D
[Wanying Li; Ximin Qiao; Chan Xu; Xiaofeng Xu] C
[Wenle Li] X
[Jingfang Chen; Youli Jiang] H
[Chengliang Yin] F
语种:
英文
关键词:
Introduction;Materials and Methods;Results;Discussion;Conclusion;Abstract;Data Availability;Additional Points;Ethical Approval;Consent;Disclosure;Conflicts of Interests;Authors’ Contributions;Funding Statement;Acknowledgements;Acknowledgments;Supplementary Materials;Reference;Dataset Description;Dataset Files;Abstract;Introduction;Introduction and Materials;Introduction and Methods;Materials;Materials and Methods;Methods;Results;Discussion;Results and Discussion;Discussion and Conclusion;Results and Conclusion;Conclusion;Conclusions;Data Availability;Additional Points;Ethical Approval;Consent;Disclosure;Conflicts of Interest;Authors’ Contributions;Funding Statement;Acknowledgements;Supplementary Materials;References;Appendix;Abbreviations;Preliminaries;Introduction and Preliminaries;Notation;Proof of Theorem;Proofs;Analysis of Results;Examples;Numerical Example;Applications;Numerical Simulation;Model;Model Formulation;Systematic Palaeontology;Nomenclatural Acts;Taxonomic Implications;Experimental;Synthesis;Overview;Characterization;Background;Experimental;Theories;Calculations;Model Verification;Model Implementation;Geographic location;Study Area;Geological setting;Data Collection;Field Testing;Data and Sampling;Dataset;Literature Review;Related Works;Related Work;System Model;Methods and Data;Experimental Results;Results and Analysis;Evaluation;Implementation;Case Presentation;Case Report;Search Terms;Case Description;Case Series;Background;Limitations;Additional Points;Case;Case 1;Case 2 etc.;Concern Details;Retraction Details;Copyright;Related Articles
期刊:
Journal of Oncology
ISSN:
1687-8450
年:
2022
卷:
2022
页码:
5798602
基金类别:
National Natural Science Foundation of China; Natural Science Foundation of Liaoning, China; [81601901]; [2019-MS-079]
机构署名:
本校为其他机构
院系归属:
护理学院
摘要:
OBJECTIVE: To establish and verify the clinical prediction model of lung metastasis in renal cancer patients. METHOD: Kidney cancer patients from January 1, 2010, to December 31, 2017, in the SEER database were enrolled in this study. In the first section, LASSO method was adopted to select variables. Independent influencing factors were identified after multivariate logistic regression analysis. In the second section, machine learning (ML) algorithms were implemented to establish models and 10-foldcross-validation was used to train the models. Finally, receiver operating characteristic curves...

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