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Articles Published Processes
7/6/2019 11:29:12 AM | Browse: 858 | Download: 1538
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Received |
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2019-03-28 02:23 |
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Peer-Review Started |
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2019-03-28 07:42 |
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To Make the First Decision |
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2019-05-15 07:51 |
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Return for Revision |
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2019-05-15 08:00 |
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Revised |
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2019-05-15 12:40 |
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Second Decision |
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2019-05-16 06:21 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2019-05-16 08:47 |
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Articles in Press |
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2019-05-16 08:47 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2019-05-31 17:30 |
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Typeset the Manuscript |
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2019-07-05 01:47 |
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Publish the Manuscript Online |
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2019-07-06 11:29 |
| ISSN |
2307-8960 (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 |
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 |
Oncology |
| Manuscript Type |
Retrospective Study |
| Article Title |
Leveraging machine learning techniques for predicting pancreatic neuroendocrine tumors grade using biochemical and tumor markers
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Rui-Quan Zhou, Hong-Chen Ji, Qu Liu, Chun-Yu Zhu and Rong Liu |
| ORCID |
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| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| “Miaopu” innovation foundation of the Chinese PLA General Hospital |
17KMM07 |
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| Corresponding Author |
Rong Liu, PhD, Doctor, Doctor, Professor, School of Medicine, Nankai University; The Second Department of Hepatobiliary Surgery, Chinese PLA General Hospital, No. 28, Fuxing Road, Beijing 100853, China. liurong@301hospital.com.cn |
| Key Words |
Machine learning; Pancreatic neuroendocrine tumors; Tumor grade; Biochemical indexes; Tumor markers |
| Core Tip |
In this study, we provide a machine learning approach to predict the grade of pancreatic neuroendocrine tumors (PNETs) using combined clinical data. We design a method of minimum P for the Chi-square test to maximize differences between groups, which benefited the model’s construction. Then, we proposed four classical supervised machine learning models by using biochemical and tumor markers. After the tuning, training and testing of the models, we make sure that the trained models could give stable results. In general, the result of our study provided a non-invasive way to judge the condition of PNETs and offers a reference for treatment. |
| Publish Date |
2019-07-06 11:29 |
| Citation |
Zhou RQ, Ji HC, Liu Q, Zhu CY, Liu R. Leveraging machine learning techniques for predicting pancreatic neuroendocrine tumors grade using biochemical and tumor markers. World J Clin Cases 2019; 7(13): 1611-1622 |
| URL |
https://www.wjgnet.com/2307-8960/full/v7/i13/1611.htm |
| DOI |
https://dx.doi.org/10.12998/wjcc.v7.i13.1611 |
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