Data-enabled digestive medicine: a new big data analytics platform

Yan, Lu, Huang, Weihong ORCID: https://orcid.org/0000-0002-7168-4943, Wang, Liming ORCID: https://orcid.org/0000-0001-6287-5695, Feng, Song, Peng, Yonghong ORCID: https://orcid.org/0000-0002-5508-1819 and Peng, Jie (2021) Data-enabled digestive medicine: a new big data analytics platform. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 18 (3). pp. 922-931. ISSN 1545-5963

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Official URL: http://dx.doi.org/10.1109/tcbb.2019.2951555

Abstract

This paper presents a big data analystics platform for clinical research and practice in the Gastroenterology Department of Xiangya Hospital at Central South University in China. This platform features a comprehensive and systematic support of big data in digestive medicine including geneneral health management, clinical gastroenterology practice, and related genomics research, which is proven to be helpful in real world clinical practices. A typical use case of integrated analysis based on electronic medical records and colonoscopy data was presented and discussed, the analaystic report on risk factors of colorectal diseases shows a reasonable recommendation about the age when people should start to screen the colorectal cancer, which could be very useful to individual and group health management for the general population in China.

Item Type:	Article (Article)
Peer-reviewed:	Yes
Date Deposited:	03 Jul 2024 10:04
Publisher:	IEEE
Additional Information:	This is an open access article which first appeared in IEEE/ACM Transactions on Computational Biology and Bioinformatics
Divisions:	Faculties > Science and Engineering
Subject terms:	Science & Technology, Life Sciences & Biomedicine, Technology, Physical Sciences, Biochemical Research Methods, Computer Science, Interdisciplinary Applications, Mathematics, Interdisciplinary Applications, Statistics & Probability, Biochemistry & Molecular Biology, Computer Science, Mathematics, Big Data, Diseases, Hospitals, Gastroenterology, Data models, Digestive system, Digestive medicine, big data analysitic platform, gastroenterology research, colorectal cancer screen, Humans, Colorectal Neoplasms, Gastrointestinal Diseases, Diagnostic Techniques, Digestive System, Computational Biology, Medical Informatics, Early Detection of Cancer, Electronic Health Records, Big Data, Big Data, Colorectal Neoplasms, Computational Biology, Diagnostic Techniques, Digestive System, Early Detection of Cancer, Electronic Health Records, Gastrointestinal Diseases, Humans, Medical Informatics, 01 Mathematical Sciences, 06 Biological Sciences, 08 Information and Computing Sciences, Bioinformatics
URI:	https://mmu-uat.leaf.cosector.com/id/eprint/635036
DOI:	https://doi.org/10.1109/TCBB.2019.2951555
ISSN	1545-5963
e-ISSN	1557-9964

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