| 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: 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 |
Clinical Trials Study |
| Article Title |
Machine Learning Identifies the Risk of Complications after Laparoscopic Radical Gastrectomy for Gastric Cancer
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Qing-Qi Hong, Su Yan, Yong-Liang Zhao, Lin Fan, Li Yang, Wen-Bin Zhang, Hao Liu, He-Xin Lin, Jian Zhang, Zhi-Jian Ye, Xian Shen, Li-Sheng Cai, Guo-Wei Zhang, Jia-Ming Zhu, Gang Ji, Jin-Ping Chen, Wei Wang, Zheng-Rong Li, Jing-Tao Zhu, Guo-Xin Li and Jun You |
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Natural Science Foundation of Fujian Province |
2021J011360 |
| Natural Science Foundation of Fujian Province |
2020J011230 |
| Natural Science Foundation of Xiamen, China |
3502Z20214ZD1018 |
| Natural Science Foundation of Xiamen, China |
3502Z20227096 |
| Medical Innovation Project of Fujian Provincial Health Commission |
2021CXB019 |
| Youth Scientific Research Project of Fujian Provincial Health Commission |
2022QNB013 |
| Bethune Charitable Foundation |
HZB-20190528-10 |
|
| Corresponding Author |
Jun You, PhD, Doctor, Doctor, Department of Gastrointestinal Oncology Surgery, The First Affiliated Hospital of Xiamen University, School of Medicine, No. 55 Zhenhai Road, Xiamen 361001, Fujian Province, China. youjun@xmu.edu.cn |
| Key Words |
Gastric cancer; Laparoscopic radical gastrectomy; Postoperative complications; Laparoscopic total gastrectomy |
| Core Tip |
This is a multicenter clinical study involving 17 Chinese medical centers, which uses machine learning methods to predict the risk of complications in laparoscopic gastric cancer surgery, contributing to the prevention and early warning of complications. |
| Publish Date |
2024-01-06 12:15 |
| Citation |
Hong QQ, Yan S, Zhao YL, Fan L, Yang L, Zhang WB, Liu H, Lin HX, Zhang J, Ye ZJ, Shen X, Cai LS, Zhang GW, Zhu JM, Ji G, Chen JP, Wang W, Li ZR, Zhu JT, Li GX, You J. Machine learning identifies the risk of complications after laparoscopic radical gastrectomy for gastric cancer. World J Gastroenterol 2024; 30(1): 79-90 |
| URL |
https://www.wjgnet.com/1007-9327/full/v30/i1/79.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v30.i1.79 |
