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Articles Published Processes
4/21/2022 11:35:30 AM | Browse: 260 | Download: 643
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Received |
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2021-12-14 08:31 |
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Peer-Review Started |
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2021-12-14 08:31 |
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To Make the First Decision |
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Return for Revision |
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2022-01-26 07:58 |
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Revised |
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2022-02-11 09:47 |
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Second Decision |
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2022-03-03 05:46 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Company Editor-in-Chief |
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2022-03-06 21:33 |
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Articles in Press |
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2022-03-06 21:33 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2022-03-02 01:23 |
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Typeset the Manuscript |
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2022-04-02 00:41 |
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Publish the Manuscript Online |
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2022-04-21 11:35 |
| ISSN |
2307-8960 (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) 2022. 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 |
Surgery |
| Manuscript Type |
Retrospective Study |
| Article Title |
Flap failure prediction in microvascular tissue reconstruction using machine learning algorithm
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Yu-Cang Shi, Jie Li, Shao-Jie Li, Zhan-Peng Li, Hui-Jun Zhang, Ze-Yong Wu and Zhi-Yuan Wu |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Zhi-Yuan Wu, MD, PhD, Professor, Department of Plastic Surgery, Affiliated Hospital of Guangdong Medical University, No. 57 South of Renmin Avenue, Zhanjiang 524001, Guangdong Province, China. 1608700812@qq.com |
| Key Words |
Machine learning; Flap failure; Microvascular procedure; Random forest; Risk factors |
| Core Tip |
Flap failure is a rare but severe event in microvascular tissue reconstruction. It is generally associated with the additional economic burden and mental stress to the patients. Therefore, identifying the risk factors and screening high-risk patients carries a significant value in the clinical practice. Machine learning is an artificial intelligence based on the computer learning to learn from data and thus automatically make decisions. This retrospective study applied machine learning for the risk factor analysis of flap failure during microvascular tissue reconstruction. |
| Publish Date |
2022-04-21 11:35 |
| Citation |
Shi YC, Li J, Li SJ, Li ZP, Zhang HJ, Wu ZY, Wu ZY. Flap failure prediction in microvascular tissue reconstruction using machine learning algorithms. World J Clin Cases 2022; 10(12): 3729-3738 |
| URL |
https://www.wjgnet.com/2307-8960/full/v10/i12/3729.htm |
| DOI |
https://dx.doi.org/10.12998/wjcc.v10.i12.3729 |
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