Medical Application of Big Data: Between Systematic Review and Randomized Controlled Trials

被引:0
|
作者
Shim, Sung Ryul [1 ]
Lee, Joon-Ho [2 ]
Kim, Jae Heon [3 ]
机构
[1] Konyang Univ, Coll Med, Dept Biomed Informat, Daejeon 35365, South Korea
[2] Soonchunhyang Univ, Coll Med, Dept Anesthesiol & Pain Med, Bucheon Hosp, Bucheon 14584, South Korea
[3] Soonchunhyang Univ, Coll Med, Dept Urol, Seoul Hosp, Seoul 04401, South Korea
来源
APPLIED SCIENCES-BASEL | 2023年 / 13卷 / 16期
关键词
big data; evidence-based medicine; systematic review; meta-analysis; randomized controlled trial; METAANALYSIS; PROMISE; ISSUES;
D O I
10.3390/app13169260
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
In terms of medical health, we are currently living in the era of data science, which has brought tremendous change. Big data related to healthcare includes medical data, genome data, and lifelog data. Among medical data, public medical data is very important for actual research and medical policy reflection because it has data on a large number of patients and is representative. However, there are many difficulties in actually using such public health big data and designing a study, and conducting systematic review (SR) on the research topic can help a lot in the methodology. In this review, in addition to the importance of research using big data for the public interest, we will introduce important public medical big data in Korea and show how SR can be specifically applied in research using public medical big data.
引用
收藏
页数:10
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