数据库建设:临床研究进展及意义。

Erping Long, Bingjie Huang, Lim-ping Wang, Xiao‐Yu Lin, Haotian Lin
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引用次数: 2

摘要

数据库广泛应用于临床研究,是一种新型的数据管理自动化技术,是最有效的数据管理工具。在本文中,我们首先解释一些基本概念,如数据库的定义、分类和建立。然后介绍了建立数据库、输入数据、验证数据、管理数据库的工作流程。同时,通过探讨数据库在临床研究中的应用,阐明了数据库在临床研究实践中的重要作用。最后,我们介绍了随机对照试验(rct)和云计算技术的再分析,展示了数据库在临床研究中的最新进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Construction of databases: advances and significance in clinical research.
Widely used in clinical research, the database is a new type of data management automation technology and the most efficient tool for data management. In this article, we first explain some basic concepts, such as the definition, classification, and establishment of databases. Afterward, the workflow for establishing databases, inputting data, verifying data, and managing databases is presented. Meanwhile, by discussing the application of databases in clinical research, we illuminate the important role of databases in clinical research practice. Lastly, we introduce the reanalysis of randomized controlled trials (RCTs) and cloud computing techniques, showing the most recent advancements of databases in clinical research.
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来源期刊
自引率
0.00%
发文量
1312
期刊介绍: Eye science was founded in 1985. It is a national medical journal supervised by the Ministry of Education of the People's Republic of China, sponsored by Sun Yat-sen University, and hosted by Sun Yat-sen University Zhongshan Eye Center (in October 2020, it was changed from a quarterly to a monthly, with the publication number: ISSN: 1000-4432; CN: 44-1119/R). It is edited by Ge Jian, former dean of Sun Yat-sen University Zhongshan Eye Center, Liu Yizhi, director and dean of Sun Yat-sen University Zhongshan Eye Center, and Lin Haotian, deputy director of Sun Yat-sen University Zhongshan Eye Center, as executive editor. It mainly reports on new developments and trends in the field of ophthalmology at home and abroad, focusing on basic research in ophthalmology, clinical experience, and theoretical knowledge and technical operations related to epidemiology. It has been included in important databases at home and abroad, such as Chemical Abstract (CA), China Journal Full-text Database (CNKI), China Core Journals (Selection) Database (Wanfang), and Chinese Science and Technology Journal Database (VIP).
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