Data-Enabled Digestive Medicine: A New Big Data Analytics Platform

被引：9
作者：
Yan, Lu [1 ]
Huang, Weihong [2 ]
Wang, Liming [3 ]
Feng, Song [4 ]
Peng, Yonghong [5 ]
Peng, Jie [1 ]
机构：
[1] Cent South Univ, Xiangya Hosp, Dept Gastroenterol, Changsha 410008, Hunan, Peoples R China
[2] Cent South Univ, Xiangya Hosp, Mobile Hlth Minist Educ, China Mobile Joint Lab, Changsha 410008, Hunan, Peoples R China
[3] Bitvalue Technol Hunan Co Ltd, Xiangjiang Rd, Changsha 410082, Hunan, Peoples R China
[4] Cent South Univ, Xiangya Hosp, Network Informat Ctr, Changsha 410008, Hunan, Peoples R China
[5] Univ Sunderland, Fac Comp Sci, Sunderland SR6 0DD, England
来源：
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS | 2021年 / 18卷 / 03期
关键词：
Big Data; Diseases; Hospitals; Gastroenterology; Data models; Digestive system; Digestive medicine; big data analysitic platform; gastroenterology research; colorectal cancer screen;
D O I：
10.1109/TCBB.2019.2951555
中图分类号：
Q5 [生物化学];
学科分类号：
071010 ; 081704 ;
摘要：
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.
引用
收藏
页码：922 / 931
页数：10
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