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Articles Published Processes
10/14/2025 7:42:35 AM | Browse: 26 | Download: 43
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Received |
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2025-06-25 01:51 |
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Peer-Review Started |
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2025-06-25 01:51 |
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To Make the First Decision |
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Return for Revision |
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2025-07-03 07:42 |
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Revised |
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2025-07-16 13:38 |
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Second Decision |
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2025-09-01 02:37 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2025-09-01 08:21 |
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Articles in Press |
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2025-09-01 08:21 |
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Publication Fee Transferred |
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2025-07-22 13:07 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2025-10-09 00:10 |
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Publish the Manuscript Online |
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2025-10-14 07:42 |
| 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: 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 |
Retrospective Study |
| Article Title |
Constructing a prediction model for delayed wound healing after gastric cancer radical surgery based on three machine learning algorithms
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Yan An, Yin-Gui Sun, Shuo Feng, Yun-Sheng Wang, Yuan-Yuan Chen and Jun Jiang |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Shandong Province Traditional Chinese Medicine Technology Project |
No. Q-2023147 |
| Weifang Health Commission Research Project |
No. WFWSJK-2023-033 |
| Weifang City Science and Technology Development Plan (Medical Category) |
No. 2023YX057 |
| Weifang Medical University 2022 Campus level Education and Teaching Reform and Research Project |
No. 2022YB051 |
| Norman Bethune Public Welfare Foundation |
No. ezmr2023-037 |
| Special Research Project on Optimized Management of Acute Pain, Wu Jieping Medical Foundation |
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| Corresponding Author |
Jun Jiang, Affiliated Hospital of Shandong Second Medical University (Clinical Medical College), Kuiwen District, weifang 261000, Shandong Province, China. fyjiangjun@sdsmu.edu.cn |
| Key Words |
Machine learning; Logistic regression; Support vector machine; Decision tree; Delayed healing; Prediction model; Gastric cancer |
| Core Tip |
Delayed wound healing after gastric cancer surgery poses a significant risk to patient recovery. This study developed machine learning models specifically decision tree, support vector machine, and logistic regression for predicting postoperative delayed wound healing. The decision tree model demonstrated the best performance, achieving an accuracy of 90.1% and an area under the curve of 0.951 in the validation set. Key predictors included duration of abdominal drainage and preoperative white blood cell count. These findings offer clinicians a data-driven tool for early identification of high-risk patients and improved perioperative management. |
| Publish Date |
2025-10-14 07:42 |
| Citation |
<p>An Y, Sun YG, Feng S, Wang YS, Chen YY, Jiang J. Constructing a prediction model for delayed wound healing after gastric cancer radical surgery based on three machine learning algorithms. <i>World J Gastrointest Oncol</i> 2025; 17(10): 111163</p> |
| URL |
https://www.wjgnet.com/1948-5204/full/v17/i10/111163.htm |
| DOI |
https://dx.doi.org/10.4251/wjgo.v17.i10.111163 |
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