Adopting Data Analysis and Visualization Technology to Construct Clinical Research Data Management and Analysis System
Authors: 
Haijing Tang, Yangdong Zhou, Xu Yang, Keyan Gao, Wenhao Zheng, Jinfeng ZhaoAuthors Info & Claims
Pages 49 - 53
Abstract
With the development of information technology, information systems have been widely used in medical institutions, and more and more clinical research data has been digitized, which provides the possibility to carry out clinical research with data as the source. However, the complexity and multi-dimensionality of clinical data make medical scientists' progress slow, and comprehensive use of various big data technologies is needed to help improve the efficiency of clinical research. Visualization technology can display data in an intuitive and easy-to-read way, helping medical researchers understand data, while parallel computing can greatly improve computing efficiency. Therefore, this paper explores the application strategies of data analysis technology and visualization technology in the management and analysis of clinical research data, and builds a set of clinical research data management analysis system, which combines various technologies to help effectively promote medical clinical.
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Index Terms
- Adopting Data Analysis and Visualization Technology to Construct Clinical Research Data Management and Analysis System
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Published In
December 2018
79 pages
ISBN:9781450361279
DOI:10.1145/3301761
Copyright © 2018 ACM.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 18 December 2018
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- Research-article
- Research
- Refereed limited
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- National Key R&D Program of China
- National Natural Science Foundation of China
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ICSEB '18
ICSEB '18: 2018 2nd International Conference on Software and e-Business
December 18 - 20, 2018
Zhuhai, China
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