| ISSN |
1007-9327 (print) and 2219-2840 (online) |
| Open Access |
This 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 Non Commercial (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) 2019. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
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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 |
Oncology |
| Manuscript Type |
Retrospective Study |
| Article Title |
Application of preoperative artificial neural network based on blood biomarkers and clinicopathological parameters for predicting long-term survival of patients with gastric cancer
|
| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Si-Jin Que, Qi-Yue Chen, Qing Zhong, Zhi-Yu Liu, Jia-Bin Wang, Jian-Xian Lin, Jun Lu, Long-Long Cao, Mi Lin, Ru-Hong Tu, Ze-Ning Huang, Juli Lin, Hua-Long Zheng, Ping Li, Chao-Hui Zheng, Chang-Ming Huang and Jian-Wei Xie |
| ORCID |
|
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Supported by Scientific and technological innovation joint capital projects of Fujian Province |
2016Y9031 |
| Construction Project of Fujian Province Minimally Invasive Medical Center |
No. [2017]171 |
| The second batch of special support funds for Fujian Province innovation and entrepreneurship talents |
2016B013 |
| General project of Miaopu scientific research fund of Fujian Medical University |
2015MP021 |
| Youth Project of Fujian Provincial Health and Family Planning Commission |
2016-1-41 |
| Fujian province medical innovation project, Chinese physicians association young physician respiratory research fund |
2015-CXB-16 |
| Fujian science and technology innovation joint fund project |
2017Y9004 |
|
| Corresponding Author |
Jian-Wei Xie, MD, PhD, Doctor, Doctor, Professor, Department of Gastric Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian Province, China, Department of Gastric Surgery, Fujian Medical University Union Hospital, No.29 Xinquan Road, Fuzhou 350001, Fujian Province, China., Fuzhou 350001, China. 364531721@qq.com |
| Key Words |
Gastric cancer; Artificial neural network model; Prognostic model; Preoperative; Blood biomarkers; Long-term survival |
| Core Tip |
We establish an artificial neural network model before surgery that can predict the long-term survival of gastric cancer, and its predictive efficiency is not inferior to that of pathological TNM staging. |
| Publish Date |
2019-11-21 08:40 |
| Citation |
Que SJ, Chen QY, Zhong Q, Liu ZY, Wang JB, Lin JX, Lu J, Cao LL, Lin M, Tu RH, Huang ZN, Lin JL, Zheng HL, Li P, Zheng CH, Huang CM, Xie JW. Application of preoperative artificial neural network based on blood biomarkers and clinicopathological parameters for predicting long-term survival of patients with gastric cancer. World J Gastroenterol 2019; 25(43): 6451-6464 |
| URL |
https://www.wjgnet.com/1007-9327/full/v25/i43/6451.htm |
| DOI |
https://dx.doi.org/10.3748/wjg.v25.i43.6451 |
