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1/23/2025 6:19:33 AM | Browse: 62 | Download: 138
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Received |
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2024-10-07 16:13 |
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Peer-Review Started |
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2024-10-07 16:13 |
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To Make the First Decision |
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Return for Revision |
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2024-10-25 03:54 |
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Revised |
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2024-11-07 17:51 |
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Second Decision |
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2025-01-03 02:35 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2025-01-03 06:20 |
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Articles in Press |
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2025-01-03 06:20 |
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Publication Fee Transferred |
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2024-11-09 15:49 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2025-01-10 02:09 |
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Publish the Manuscript Online |
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2025-01-23 05:47 |
ISSN |
1007-9327 (print) and 2219-2840 (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) 2025. 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 Cohort Study |
Article Title |
Machine learning model-based prediction of postpancreatectomy acute pancreatitis following pancreaticoduodenectomy: A retrospective cohort study
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Manuscript Source |
Unsolicited Manuscript |
All Author List |
Ji-Ming Ma, Peng-Fei Wang, Liu-Qing Yang, Jun-Kai Wang, Jian-Ping Song, Yu-Mei Li, Yan Wen, Bing-Jun Tang and Xue-Dong Wang |
Funding Agency and Grant Number |
Funding Agency |
Grant Number |
National Natural Science Foundation of China |
81930119 |
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Corresponding Author |
Xue-Dong Wang, MD, Hepatopancreatobiliary Center, Beijing Tsinghua Changgung Hospital, No. 168 Litang Road, Changping District, Beijing 102218, China. wxda01026@btch.edu.cn |
Key Words |
Pancreaticoduodenectomy; Postoperative complication; Acute pancreatitis; Machine learning; Predictive value |
Core Tip |
We demonstrate a novel machine learning algorithm for predicting postpancreatectomy acute pancreatitis, achieving excellent performance. The model’s coherent interpretation provides clinical utility in the management and treatment of patients following pancreaticoduodenectomy. This study explains the serious harm caused by such complications and establishes a possible effective preventive measure, providing assistance for clinical work. |
Publish Date |
2025-01-23 05:47 |
Citation |
<p>Ma JM, Wang PF, Yang LQ, Wang JK, Song JP, Li YM, Wen Y, Tang BJ, Wang XD. Machine learning model-based prediction of postpancreatectomy acute pancreatitis following pancreaticoduodenectomy: A retrospective cohort study. <i>World J Gastroenterol</i> 2025; 31(8): 102071</p> |
URL |
https://www.wjgnet.com/1007-9327/full/v31/i8/102071.htm |
DOI |
https://dx.doi.org/10.3748/wjg.v31.i8.102071 |
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