Treatment Planning in Smart Medical: A Sustainable Strategy

Fei Hao, Doo-Soon Park, Sang Yeon Woo, Se Dong Min and Sewon Park
Volume: 12, No: 4, Page: 711 ~ 723, Year: 2016
10.3745/JIPS.04.0026
Keywords: Degree of Membership, Fuzzy Evaluation, Smart Medical, Sustainable, Treatment Plan
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Abstract
With the rapid development of both ubiquitous computing and the mobile internet, big data technology is gradually penetrating into various applications, such as smart traffic, smart city, and smart medical. In particular, smart medical, which is one core part of a smart city, is changing the medical structure. Specifically, it is improving treatment planning for various diseases. Since multiple treatment plans generated from smart medical have their own unique treatment costs, pollution effects, side-effects for patients, and so on, determining a sustainable strategy for treatment planning is becoming very critical in smart medical. From the sustainable point of view, this paper first presents a three-dimensional evaluation model for representing the raw medical data and then proposes a sustainable strategy for treatment planning based on the representation model. Finally, a case study on treatment planning for the group of “computer autism” patients is then presented for demonstrating the feasibility and usability of the proposed strategy

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Cite this article
IEEE Style
Fei Hao, Doo-Soon Park, Sang Yeon Woo, Se Dong Min, and Sewon Park, "Treatment Planning in Smart Medical: A Sustainable Strategy ," Journal of Information Processing Systems, vol. 12, no. 4, pp. 711~723, 2016. DOI: 10.3745/JIPS.04.0026.

ACM Style
Fei Hao, Doo-Soon Park, Sang Yeon Woo, Se Dong Min, and Sewon Park, "Treatment Planning in Smart Medical: A Sustainable Strategy ," Journal of Information Processing Systems, 12, 4, (2016), 711~723. DOI: 10.3745/JIPS.04.0026.