Progress of researches on medical big data analytics technology
10.16250/j.32.1374.2022210
- VernacularTitle:医疗大数据分析技术研究进展
- Author:
Zhi-cheng DU
1
;
Zhi-jie ZHANG
2
;
Qing-wu JIANG
2
Author Information
1. Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong 510080, China
2. Department of Epidemiology and Health Statistics, School of Public Health, Fudan University, Shanghai 200032, China
- Publication Type:Journal Article
- Keywords:
Medical big data;
Analytics technology;
Artificial intelligence;
Medical imaging;
Risk prediction;
Disease control
- From:
Chinese Journal of Schistosomiasis Control
2022;34(5):465-468
- CountryChina
- Language:Chinese
-
Abstract:
The use of the big data analytics technology to collect, summarize and analyze medical big data is effective to precisely mine and explore the underlying information, which greatly facilitates medical science research and clinical practices. Currently, the medical big data analytics technology mainly includes artificial intelligence, databases and programming languages, which have been widely employed in medical imaging, disease risk prediction, disease control, healthcare management, follow-up, and drug and therapy development. This review summarizes the currently available medical big data analytics technologies and their applications, with aims to facilitate the related studies.
