TY - GEN
T1 - Adopting data analysis and visualization technology to construct clinical research data management and analysis system
AU - Tang, Haijing
AU - Gao, Keyan
AU - Zhou, Yangdong
AU - Zheng, Wenhao
AU - Yang, Xu
AU - Zhao, Jinfeng
N1 - Publisher Copyright:
© 2018 AssociationforComputingMachinery.
PY - 2018/12/18
Y1 - 2018/12/18
N2 - 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 promotemedical clinical.
AB - 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 promotemedical clinical.
KW - Clinical data
KW - Data analysis
KW - Visualization
UR - http://www.scopus.com/inward/record.url?scp=85064838869&partnerID=8YFLogxK
U2 - 10.1145/3301761.3301767
DO - 10.1145/3301761.3301767
M3 - Conference contribution
AN - SCOPUS:85064838869
T3 - ACM International Conference Proceeding Series
SP - 49
EP - 53
BT - ICSEB 2018 - Proceedings of 2018 2nd International Conference on Software and e-Business
PB - Association for Computing Machinery
T2 - 2nd International Conference on Software and e-Business, ICSEB 2018
Y2 - 18 December 2018 through 20 December 2018
ER -