Proceedings of the 4th International Symposium on Social Science (ISSS 2018)

Thinking of Medical-Nursing Combined Aged Care Mode Based on Big Data Technology

Authors
Yan Hou
Corresponding Author
Yan Hou
Available Online May 2018.
DOI
10.2991/isss-18.2018.113How to use a DOI?
Keywords
big data technology; medical-nursing combined; aged care mode; discussion.
Abstract

With the continuous development of China's information technology, “Internet+” technology has also been widely used in various industries, which has a very positive significance in promoting the development and progress of industry modernization. Furthermore, the continuous maturation of “Internet+” technology and big data technology also has a profound effect on the development of many traditional industries. The aged care industry is an important part of the development of our traditional industries. With the continuous increase of the aging population at the present stage, the aged care industry has also achieved great research and development, while big data technology plays a very active role in the development of this industry. In this context, related discussion was applied on the medical-nursing combined aged care mode in this paper based on big data technology.

Copyright
© 2018, 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 4th International Symposium on Social Science (ISSS 2018)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
May 2018
ISBN
978-94-6252-515-3
ISSN
2352-5398
DOI
10.2991/isss-18.2018.113How to use a DOI?
Copyright
© 2018, 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  - Yan Hou
PY  - 2018/05
DA  - 2018/05
TI  - Thinking of Medical-Nursing Combined Aged Care Mode Based on Big Data Technology
BT  - Proceedings of the 4th International Symposium on Social Science (ISSS 2018)
PB  - Atlantis Press
SP  - 550
EP  - 554
SN  - 2352-5398
UR  - https://doi.org/10.2991/isss-18.2018.113
DO  - 10.2991/isss-18.2018.113
ID  - Hou2018/05
ER  -