Proceedings of the 2016 International Conference on Economics and Management Innovations

Application of big data technology in clinical medicine and scientific research

Authors
Zhiyi Li, Ling Pan, Lifang Cui, Shiping Xie
Corresponding Author
Zhiyi Li
Available Online July 2016.
DOI
10.2991/icemi-16.2016.21How to use a DOI?
Keywords
big data, clinical medicine, scientific research, technology
Abstract

With the development of science and technology, big data analysis can process massive amounts data generated by the medical and health industry. Timely acquisition, efficient treatment, rational application of big data, which can provide the reference for clinical diagnosis and treatment of common diseases, provide the basis for the fine management of hospital, provides the platform for personalized health care, and provide data for clinical research. This can be better for clinical medicine, health management and medical research work.

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2016 International Conference on Economics and Management Innovations
Series
Advances in Computer Science Research
Publication Date
July 2016
ISBN
10.2991/icemi-16.2016.21
ISSN
2352-538X
DOI
10.2991/icemi-16.2016.21How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zhiyi Li
AU  - Ling Pan
AU  - Lifang Cui
AU  - Shiping Xie
PY  - 2016/07
DA  - 2016/07
TI  - Application of big data technology in clinical medicine and scientific research
BT  - Proceedings of the 2016 International Conference on Economics and Management Innovations
PB  - Atlantis Press
SP  - 106
EP  - 109
SN  - 2352-538X
UR  - https://doi.org/10.2991/icemi-16.2016.21
DO  - 10.2991/icemi-16.2016.21
ID  - Li2016/07
ER  -