Treatment Planning in Smart Medical: A Sustainable Strategy

被引:14
|
作者
Hao, Fei [1 ]
Park, Doo-Soon [1 ]
Woo, Sang Yeon [2 ]
Min, Se Dong [3 ]
Park, Sewon [4 ]
机构
[1] Soonchunhyang Univ, Dept Comp Software Engn, Asan, South Korea
[2] Soonchunhyang Univ, Dept Sport Sci, Asan, South Korea
[3] Soonchunhyang Univ, Dept Med IT Engn, Asan, South Korea
[4] Seoul Natl Univ, Sch Biol Sci, Seoul, South Korea
来源
关键词
Degree of Membership; Fuzzy Evaluation; Smart Medical; Sustainable; Treatment Plan;
D O I
10.3745/JIPS.04.0026
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:711 / 723
页数:13
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