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Department of Electrical Engineering and Computer Science
RTCPS(Real-Time Cyber-Physical Systems) Lab
1. Journal Articles
HealthNode: Software Framework for Efficiently Designing and Developing Cloud-Based Healthcare Applications
Ra, Ho Kyeong
;
Yoon, Hee Jung
;
Son, Sang Hyuk
;
Stankovic, John A.
;
Ko, JeongGil
Department of Electrical Engineering and Computer Science
RTCPS(Real-Time Cyber-Physical Systems) Lab
1. Journal Articles
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Title
HealthNode: Software Framework for Efficiently Designing and Developing Cloud-Based Healthcare Applications
DGIST Authors
Ra, Ho Kyeong
;
Yoon, Hee Jung
;
Son, Sang Hyuk
;
Stankovic, John A.
;
Ko, JeongGil
Issued Date
2018-04
Citation
Ra, Ho Kyeong. (2018-04). HealthNode: Software Framework for Efficiently Designing and Developing Cloud-Based Healthcare Applications. doi: 10.1155/2018/6071580
Type
Article
Article Type
Article
ISSN
1574-017X
Abstract
With the exponential improvement of software technology during the past decade, many efforts have been made to design remote and personalized healthcare applications. Many of these applications are built on mobile devices connected to the cloud. Although appealing, however, prototyping and validating the feasibility of an application-level idea is yet challenging without a solid understanding of the cloud, mobile, and the interconnectivity infrastructure. In this paper, we provide a solution to this by proposing a framework called HealthNode, which is a general-purpose framework for developing healthcare applications on cloud platforms using Node.js. To fully exploit the potential of Node.js when developing cloud applications, we focus on the fact that the implementation process should be eased. HealthNode presents an explicit guideline while supporting necessary features to achieve quick and expandable cloud-based healthcare applications. A case study applying HealthNode to various real-world health applications suggests that HealthNode can express architectural structure effectively within an implementation and that the proposed platform can support system understanding and software evolution. © 2018 Ho-Kyeong Ra et al.
URI
http://hdl.handle.net/20.500.11750/6405
DOI
10.1155/2018/6071580
Publisher
IOS Press
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