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Articles Published Processes
12/27/2018 9:28:07 AM | Browse: 1243 | Download: 2303
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Received |
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2018-06-26 01:48 |
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Peer-Review Started |
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2018-07-02 06:56 |
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First Decision by Editorial Office Director |
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2018-08-01 01:43 |
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Return for Revision |
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2018-08-07 02:04 |
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Revised |
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2018-09-14 07:03 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2018-10-17 02:58 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2018-10-17 21:49 |
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Articles in Press |
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2018-10-17 21:49 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2018-12-26 05:42 |
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Publish the Manuscript Online |
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2018-12-27 09:28 |
| ISSN |
1948-5182 (online) |
| Open Access |
This article is an open-access article which 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) 2018. 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 |
Retrospective Cohort Study |
| Article Title |
Non-invasive prediction of non-alcoholic steatohepatitis in Japanese patients with morbid obesity by artificial intelligence using rule extraction technology
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Daisuke Uehara, Yoichi Hayashi, Yosuke Seki, Satoru Kakizaki, Norio Horiguchi, Hiroki Tojima, Yuichi Yamazaki, Ken Sato, Kazuki Yasuda, Masanobu Yamada, Toshio Uraoka and Kazunori Kasama |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Satoru Kakizaki, MD, PhD, Associate Professor, Department of Gastroenterology and Hepatology, Gunma University Graduate School of Medicine, Showa-machi, 3-39-15, Maebashi 371-8511, Gunma, Japan. kakizaki@gunma-u.ac.jp |
| Key Words |
Non-alcoholic steatohepatitis; Artificial intelligence; Rule extraction; Morbid obesity; Liver biopsy; Non-invasive prediction |
| Core Tip |
The prevalence of non-alcoholic steatohepatitis (NASH) in Japanese morbidly obese patients is extremely high, and early intervention should be undertaken. However, it is difficult to perform a percutaneous liver biopsy or elastography in routine medical care, especially in morbidly obese patients. We therefore attempted to construct a non-invasive prediction algorithm in order to predict NASH in Japanese morbidly obese patients using artificial intelligence with rule extraction technology. Although further studies with larger numbers of patients are needed to confirm the results, this algorithm may be useful for non-invasively predicting NASH in morbidly obese Japanese patients in the clinical setting. |
| Publish Date |
2018-12-27 09:28 |
| Citation |
Uehara D, Hayashi Y, Seki Y, Kakizaki S, Horiguchi N, Tojima H, Yamazaki Y, Sato K, Yasuda K, Yamada M, Uraoka T, Kasama K. Non-invasive prediction of non-alcoholic steatohepatitis in Japanese patients with morbid obesity by artificial intelligence using rule extraction technology. World J Hepatol 2018; 10(12): 934-943
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| URL |
https://www.wjgnet.com/1948-5182/full/v10/i12/934.htm |
| DOI |
https://dx.doi.org/10.4254/wjh.v10.i12.934 |
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