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Articles Published Processes
11/18/2020 2:20:37 PM | Browse: 643 | Download: 1521
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Received |
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2020-06-24 04:03 |
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Peer-Review Started |
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2020-06-24 04:04 |
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To Make the First Decision |
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Return for Revision |
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2020-09-18 16:31 |
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Revised |
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2020-10-06 02:09 |
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Second Decision |
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2020-10-20 10:32 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2020-10-20 21:40 |
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Articles in Press |
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2020-10-20 21:40 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2020-11-16 13:05 |
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Publish the Manuscript Online |
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2020-11-18 14:20 |
| ISSN |
2218-4333 (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) 2020. 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 |
Dentistry, Oral Surgery & Medicine |
| Manuscript Type |
Retrospective Study |
| Article Title |
Artificial intelligence in dentistry: Harnessing big data to predict oral cancer survival
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| Manuscript Source |
Unsolicited Manuscript |
| All Author List |
Man Hung, Jungweon Park, Eric S Hon, Jerry Bounsanga, Sara Moazzami, Bianca Ruiz-Negrón and Dawei Wang |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Man Hung, PhD, Professor, Research Dean, College of Dental Medicine, Roseman University of Health Sciences, 10894 S River Front Parkway, South Jordan, UT 84095, United States. mhung@roseman.edu |
| Key Words |
Oral cancer survival; Machine learning; Artificial intelligence; Dental medicine; Public health; Surveillance, Epidemiology, and End Results |
| Core Tip |
Oral cancer is the sixth most prevalent cancer worldwide. The goal of this study was to come up with machine learning algorithms to predict the length of oral cancer survival and to explore the most important factors that were responsible for it. Age at diagnosis, primary cancer site, tumor size and year of diagnosis were found to be the most important factors predictive of oral cancer survival. Year of diagnosis represents an important new discovery in the literature. Using artificial intelligence, we developed a tool that can be used for oral cancer survival prediction and for medical decision making. |
| Publish Date |
2020-11-18 14:20 |
| Citation |
Hung M, Park J, Hon ES, Bounsanga J, Moazzami S, Ruiz-Negrón B, Wang D. Artificial intelligence in dentistry: Harnessing big data to predict oral cancer survival. World J Clin Oncol 2020; 11(11): 918-934 |
| URL |
https://www.wjgnet.com/2218-4333/full/v11/i11/918.htm |
| DOI |
https://dx.doi.org/10.5306/wjco.v11.i11.918 |
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