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Articles Published Processes
6/7/2023 7:54:29 AM | Browse: 214 | Download: 558
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Received |
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2023-01-08 16:33 |
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Peer-Review Started |
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2023-01-08 16:34 |
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To Make the First Decision |
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Return for Revision |
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2023-01-21 07:25 |
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Revised |
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2023-02-03 12:55 |
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Second Decision |
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2023-03-10 03:08 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2023-03-10 08:44 |
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Articles in Press |
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2023-03-10 08:44 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2023-03-01 04:12 |
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Typeset the Manuscript |
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2023-03-13 07:01 |
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Publish the Manuscript Online |
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2023-06-07 07:54 |
| ISSN |
2644-3236 (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) 2023. 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 |
Minireviews |
| Article Title |
Big data and variceal rebleeding prediction in cirrhosis patients
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Quan Yuan, Wen-Long Zhao and Bo Qin |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Bo Qin, MD, Professor, Department of Infectious Diseases , The First Affiliated Hospital of Chongqing Medical University, No. 1 Youyi Road, Yuzhong District, Chongqing 400042, China. qinbo@cqmu.edu.cn |
| Key Words |
Big data; Disease onset; Prognosis; Modeling; Cirrhosis; Gastrointestinal rebleeding |
| Core Tip |
Big data have been applied in many fields including finance, traffic control, logistics, healthcare, and environmental protection. Modeling is an efficient method for completing various tasks, and verification of its validity is vital for ensuring high-quality operation and yielding satisfactory results. Predictor screening guarantees the establishment of a practical, convenient, and favorable model for prognosis prediction. Utilizing a regression model trained with numerous data mined from big data acquired from real-world hospitals is helpful for informing disease or status onset and its prognosis such as in variceal rebleeding, which is one of the leading causes of death in cirrhosis patients. |
| Publish Date |
2023-06-07 07:54 |
| Citation |
Yuan Q, Zhao WL, Qin B. Big data and variceal rebleeding prediction in cirrhosis patients. Artif Intell Gastroenterol 2023; 4(1): 1-9 |
| URL |
https://www.wjgnet.com/2644-3236/full/v4/i1/1.htm |
| DOI |
https://dx.doi.org/10.35712/aig.v4.i1.1 |
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