Smart Health and Wellbeing

被引：11
|
作者：
Chen, Hsinchun [1 ,10 ]
Pavel, Misha [2 ]
Barkis, Will [3 ]
Hanauer, David A. [4 ]
Zheng, Kai [5 ]
Ramakrishnan, Naren [6 ]
Keller, Benjamin J. [7 ]
Lin, Yu-Kai [8 ]
Brown, Randall A. [8 ]
Yang, Hung Jen
Li, Shu-Hsing [9 ]
Lu, Hsin-Min [9 ]
Chen, Hsinchun [1 ,10 ]
机构：
[1] Univ Arizona, Artificial Intelligence Lab, Tucson, AZ 85721 USA
[2] Oregon Hlth & Sci Univ, Portland, OR USA
[3] Amer Assoc Advancement Sci, Washington, DC USA
[4] Univ Michigan Med Sch, Ann Arbor, MI USA
[5] Univ Michigan, Sch Publ Hlth, Sch Informat, Ann Arbor, MI 48109 USA
[6] Virginia Tech, Blacksburg, VA USA
[7] Eastern Michigan Univ, Ypsilanti, MI 48197 USA
[8] Univ Arizona, Tucson, AZ 85721 USA
[9] Natl Taiwan Univ, Taipei, Taiwan
[10] Univ Arizona, Tucson, AZ 85721 USA
来源：
IEEE INTELLIGENT SYSTEMS | 2011年 / 26卷 / 05期
基金：
美国国家科学基金会;
关键词：
Biomedical monitoring; Medical services; Diseases; Visualization; Medical information systems; Data mining; visualization; Intelligent systems; NSF; Smart Health and Wellbeing; healthcare; health IT; digital infrastructure; data mining; electronic health records;
D O I：
10.1109/MIS.2011.91
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In light of such overwhelming interest from governments and academia in adopting and advancing IT for effective healthcare, there are great opportunities for researchers and practitioners alike to invest efforts in conducting innovative and high-impact healthcare IT research. This IEEE Intelligent Systems Trends and Controversies (T&C) Department hopes to raise awareness and highlight selected recent research that helps move us toward such goals. This T&C department includes three articles on Smart Health and Wellbeing from distinguished experts in computer science, information systems, and medicine. Each article presents unique perspectives, advanced computational methods, and selected results and examples. © 2011 IEEE.
引用
收藏
页码：78 / 90
页数：13
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