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Articles Published Processes
8/16/2024 3:30:07 PM | Browse: 102 | Download: 292
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Received |
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2024-03-27 14:37 |
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Peer-Review Started |
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2024-03-27 14:37 |
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To Make the First Decision |
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Return for Revision |
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2024-06-22 08:07 |
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Revised |
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2024-07-06 08:18 |
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Second Decision |
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2024-07-15 02:40 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2024-07-15 06:44 |
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Articles in Press |
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2024-07-15 06:44 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2024-07-21 23:30 |
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Typeset the Manuscript |
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2024-08-02 08:15 |
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Publish the Manuscript Online |
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2024-08-16 15:30 |
| ISSN |
1948-9366 (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: https://creativecommons.org/Licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2024. 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 |
Letter to the Editor |
| Article Title |
Machine learning in predicting postoperative complications for Crohn’s disease
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Li-Fan Zhang, Liu-Xiang Chen, Wen-Juan Yang and Bing Hu |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Natural Science Foundation of Sichuan Province |
No. 2022NSFSC0819 |
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| Corresponding Author |
Bing Hu, MD, Professor, Department of Gastroenterology and Hepatology, West China Hospital, Sichuan University, NO.37 Guoxue Alley, Chengdu 610041, Sichuan Province, China. hubing@wchscu.edu.cn |
| Key Words |
Crohn’s disease; Intestinal resection; Postoperative complications; Machine learning; Explainability |
| Core Tip |
Crohn's disease (CD) is a condition characterized by chronic, recurrent inflammation, which can involve any part of the digestive tract. As the disease progresses, many patients require bowel resection and ostomy, with subsequent postoperative complications. Machine learning (ML) has emerged as a valuable tool for predicting these complications. A recent study published by Wang et al presented an ML approach for predicting major postoperative complications in CD patients undergoing intestinal resection. While acknowledging the merit of the study, we would like to express our opinions and engage in a discussion with the authors. |
| Publish Date |
2024-08-16 15:30 |
| Citation |
<p>Zhang LF, Chen LX, Yang WJ, Hu B. Machine learning in predicting postoperative complications for Crohn’s disease. <i>World J Gastrointest Surg</i> 2024; 16(8): 2745-2747</p> |
| URL |
https://www.wjgnet.com/1948-9366/full/v16/i8/2745.htm |
| DOI |
https://dx.doi.org/10.4240/wjgs.v16.i8.2745 |
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