Medical Application of Big Data: Between Systematic Review and Randomized Controlled Trials-Reference-Cited by-同舟云学术

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

Published:2023-08-15 Issue:16 Volume:13 Page:9260
ISSN:2076-3417
Container-title:Applied Sciences
language:en
Short-container-title:Applied Sciences

Author:

Shim Sung Ryul¹^ORCID,Lee Joon-Ho²^ORCID,Kim Jae Heon³^ORCID

Affiliation:

1. Department of Biomedical Informatics, College of Medicine, Konyang University, Daejeon 35365, Republic of Korea

2. Department of Anesthesiology and Pain Medicine, Soonchunhyang University Bucheon Hospital, Soonchunhyang University College of Medicine, Bucheon 14584, Republic of Korea

3. Department of Urology, Soonchunhyang University Seoul Hospital, Soonchunhyang University College of Medicine, Seoul 04401, Republic of Korea

Abstract

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.

Funder

Soonchunhyang University Research Fund

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Link

https://www.mdpi.com/2076-3417/13/16/9260/pdf

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