Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)

Research on Application of Internet of Things and Cloud Computing Technology in Intelligent Medical System

Authors
Zijia Chen, Zhenghong Guo, Xin Liu, Xiao Zhang
Corresponding Author
Zijia Chen
Available Online April 2017.
DOI
10.2991/emim-17.2017.71How to use a DOI?
Keywords
Intelligent medical; Internet of things; Medical big data; Intelligent perception; RFID
Abstract

The new information technology is the key technology to meet the demand of medical services, and medical wisdom is an important research direction of medical information. It is the fusion of networking, cloud computing and big data processing technology, which can greatly improve the medical quality, and improve the efficiency of management of the hospital medical object, rational allocation and utilization of medical resources.

Copyright
© 2017, 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/).

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Volume Title
Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
Series
Advances in Computer Science Research
Publication Date
April 2017
ISBN
10.2991/emim-17.2017.71
ISSN
2352-538X
DOI
10.2991/emim-17.2017.71How to use a DOI?
Copyright
© 2017, 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  - Zijia Chen
AU  - Zhenghong Guo
AU  - Xin Liu
AU  - Xiao Zhang
PY  - 2017/04
DA  - 2017/04
TI  - Research on Application of Internet of Things and Cloud Computing Technology in Intelligent Medical System
BT  - Proceedings of the 7th International Conference on Education, Management, Information and Mechanical Engineering (EMIM 2017)
PB  - Atlantis Press
SP  - 347
EP  - 351
SN  - 2352-538X
UR  - https://doi.org/10.2991/emim-17.2017.71
DO  - 10.2991/emim-17.2017.71
ID  - Chen2017/04
ER  -