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Articles Published Processes
4/15/2020 12:00:00 PM | Browse: 811 | Download: 1901
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Received |
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2019-12-21 08:14 |
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Peer-Review Started |
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2019-12-21 08:14 |
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To Make the First Decision |
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Return for Revision |
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2020-01-19 04:41 |
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Revised |
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2020-02-05 00:32 |
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Second Decision |
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2020-03-19 10:01 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2020-03-22 21:30 |
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Articles in Press |
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2020-03-22 21:30 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2020-04-13 17:42 |
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Publish the Manuscript Online |
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2020-04-15 12:00 |
ISSN |
1948-5204 (online) |
Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
Copyright |
© The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved. |
Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
Website |
http://www.wjgnet.com |
Category |
Gastroenterology & Hepatology |
Manuscript Type |
Observational Study |
Article Title |
Evaluation of the value of multiparameter combined analysis of serum markers in the early diagnosis of gastric cancer
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Manuscript Source |
Unsolicited Manuscript |
All Author List |
Zhi-Guo Zhang, Liang Xu, Peng-Jun Zhang and Lei Han |
ORCID |
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Funding Agency and Grant Number |
Funding Agency |
Grant Number |
National Key R&D Program of China |
2016YFC0106604 |
National Natural Science Foundation of China |
81502591 |
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Corresponding Author |
Lei Han, MD, Professor, Department of Oncology, Beijing Daxing District People’s Hospital, No. 26 Huangcun West Street, Beijing 102600, China. zlk60283168@163.com |
Key Words |
Gastric cancer; Gastric polyp; Serum; Artificial neural network; Detection; |
Core Tip |
In this study, we aimed to improve the diagnostic value of blood markers for gastric cancer. By comparing the binary logistic regression, discriminant analysis, classification tree and artificial neural network analysis, finally, artificial neural networks had better diagnostic value. When compared healthy control and gastric cancer, gastric polyp and gastric cancer, the area under the curve was 0.992 (0.980, 1.000) and 0.969 (0.948, 0.990), respectively. Based on artificial neural network and serum index, a novel diagnostic model for gastric cancer may be provided for clinical practice. |
Publish Date |
2020-04-15 12:00 |
Citation |
Zhang ZG, Xu L, Zhang PJ, Han L. Evaluation of the value of multiparameter combined analysis of serum markers in the early diagnosis of gastric cancer. World J Gastrointest Oncol 2020; 12(4): 483-491 |
URL |
https://www.wjgnet.com/1948-5204/full/v12/i4/483.htm |
DOI |
https://dx.doi.org/10.4251/wjgo.v12.i4.483 |
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