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12/27/2018 9:28:07 AM | Browse: 172 | Download: 152
Publication Name World Journal of Hepatology
Manuscript ID 40433
Country/Territory Japan
Received
2018-06-26 01:48
Peer-Review Started
2018-07-02 06:56
To Make the First Decision
2018-08-07 01:09
Return for Revision
2018-08-07 02:04
Revised
2018-09-14 07:03
Second Decision
2018-10-17 02:58
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2018-10-17 21:49
Articles in Press
2018-10-17 21:49
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2018-12-26 05:42
Publish the Manuscript Online
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
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com
Category Gastroenterology and 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
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
Author(s) ORCID Number
Daisuke Uehara http://orcid.org/0000-0003-1093-9751
Yoichi Hayashi http://orcid.org/0000-0002-8359-374X
Yosuke Seki http://orcid.org/0000-0003-0965-7415
Satoru Kakizaki http://orcid.org/0000-0003-0224-7093
Norio Horiguchi http://orcid.org/0000-0003-0560-5669
Hiroki Tojima http://orcid.org/0000-0002-1646-2344
Yuichi Yamazaki http://orcid.org/0000-0002-8633-2983
Ken Sato http://orcid.org/0000-0002-3202-7983
Kazuki Yasuda http://orcid.org/0000-0002-6966-496X
Masanobu Yamada http://orcid.org/0000-0003-4426-2670
Toshio Uraoka http://orcid.org/0000-0002-4425-4331
Kazunori Kasama http://orcid.org/0000-0001-9582-4683
Funding Agency and Grant Number
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
Keywords 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
Url https://www.wjgnet.com/1948-5182/full/v10/i12/934.htm
DOI https://dx.doi.org/10.4254/wjh.v10.i12.934
Full Article (PDF) WJH-10-934.pdf
Full Article (Word) WJH-10-934.doc
Manuscript File 40433-Review.docx
Answering Reviewers 40433-Answering reviewers.pdf
Audio Core Tip 40433-Audio core tip.MP3
Conflict-of-Interest Disclosure Form 40433-Conflict-of-interest statement.pdf
Copyright License Agreement 40433-Copyright license agreement.pdf
Signed Informed Consent Form(s) or Document(s) 40433-Signed-Informed-Consent-Form(s)-or-Document(s)-revision.pdf
Institutional Review Board Approval Form or Document 40433-Institutional review board statement.pdf
Non-Native Speakers of English Editing Certificate 40433-Language certificate.pdf
Supplementary Material 40433-Supplementary material.pdf
Peer-review Report 40433-Peer-review(s).pdf
Scientific Misconduct Check 40433-Scientific misconduct check.pdf
Scientific Editor Work List 40433-Scientific editor work list.pdf