Publication Name	World Journal of Gastroenterology
Manuscript ID	47226
Country	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 Executive 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.
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Website	http://www.wjgnet.com

Category	Gastroenterology & 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, Department of Medicine, The University of Hong Kong, Queen Mary Hospital, 102 Pokfulam Road, Hong Kong , China. wkseto@hku.hk
Key Words	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
CrossCheck Report	47226-CrossCheck Report.pdf