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10/17/2019 6:18:25 AM | Browse: 430 | Download: 470
Publication Name World Journal of Gastroenterology
Manuscript ID 50960
Country/Territory China
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
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, 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.
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
Received
2019-08-19 02:32
Peer-Review Started
2019-08-19 02:32
To Make the First Decision
2019-09-12 02:51
Return for Revision
2019-09-12 08:15
Revised
2019-09-17 11:00
Second Decision
2019-10-16 12:48
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2019-10-17 06:18
Articles in Press
2019-10-17 06:18
Publication Fee Transferred
Edit the Manuscript by Language Editor
2019-10-31 01:17
Typeset the Manuscript
2019-11-20 08:12
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.
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