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6/28/2019 12:22:27 PM | Browse: 227 | Download: 225
Publication Name World Journal of Gastroenterology
Manuscript ID 47226
Country/Territory China
Received
2019-03-12 06:30
Peer-Review Started
2019-03-13 02:11
To Make the First Decision
2019-04-11 08:24
Return for Revision
2019-04-12 01:02
Revised
2019-04-14 15:13
Second Decision
2019-04-28 09:57
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2019-04-29 10:16
Articles in Press
2019-04-29 10:16
Publication Fee Transferred
Edit the Manuscript by Language Editor
2019-05-08 20:42
Typeset the Manuscript
2019-06-27 08:23
Publish the Manuscript Online
2019-06-28 12:22
ISSN 1007-9327 (print) and 2219-2840 (online)
Open Access This article is an open-access article which was selected byan 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
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 Review
Article Title Application of Big Data analysis in gastrointestinal research
Manuscript Source Invited Manuscript
All Author List Ka-Shing Cheung, Wai K Leung and Wai-Kay Seto
ORCID
Author(s) ORCID Number
Ka-Shing Cheung http://orcid.org/0000-0002-4838-378X
Wai K Leung http://orcid.org/0000-0002-5993-1059
Wai-Kay Seto http://orcid.org/0000-0002-9012-313X
Funding Agency and Grant Number
Corresponding author Wai-Kay Seto, FRCP (C), MBBS, MD, MRCP, Associate Professor, Clinical Associate Professor, Department of Medicine, The University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong , China. wkseto@hku.hk
Keywords Healthcare dataset; Epidemiology; Gastric cancer; Inflammatory bowel disease; Colorectal cancer; Hepatocellular carcinoma; Gastrointestinal bleeding
Core Tip Digital collection and storage of data has led to the generation of Big Data. Big Data analysis in the field of gastroenterology and hepatology allows for phenomapping due to disease heterogeneity (e.g., inflammatory bowel disease, gastrointestinal and liver cancers) and hence development of precision medicine, enhances drug safety and fastens drug discovery. It has revolutionized clinical study approaches. Although there are still limitations of Big Data approach, some of them may be further minimized with continuous technological advances.
Publish Date 2019-06-28 12:22
Citation Cheung KS, Leung WK, Seto WK. Application of Big Data analysis in gastrointestinal research. World J Gastroenterol 2019; 25(24): 2990-3008
Url https://www.wjgnet.com/1007-9327/full/v25/i24/2990.htm
DOI https://dx.doi.org/10.3748/wjg.v25.i24.2990
Full Article (PDF) WJG-25-2990.pdf
Full Article (Word) WJG-25-2990.docx
Manuscript File FP6835_de25_CE1MS-edit2 (Seto).docx
Answering Reviewers 47226-Answering reviewers.pdf
Audio Core Tip 47226-Audio core tip.m4a
Conflict-of-Interest Disclosure Form 47226-Conflict-of-interest statement.pdf
Copyright License Agreement 47226-Copyright license agreement.pdf
Peer-review Report 47226-Peer-review(s).pdf
Scientific Misconduct Check 47226-Scientific misconduct check.pdf
Scientific Editor Work List 47226-Scientific editor work list.pdf