A mobile framework for personalized diabetes telecare

I. Hen Tsai, Yi-Ching Yang, Yu Feng Lin, Vincent S. Tseng

研究成果: Conference contribution

6 引文 斯高帕斯(Scopus)

摘要

The latest estimates for worldwide diabetic population is about 366 million, with the expected diabetic population in 2030 at 552 million[1]. The steadily increasing diabetic population and strained health resources call for a more efficient approach to diabetes care. In the past few years, smart phones have become the mainstream communications device, especially for the younger generation. Coupled with the increased ease in developing and deploying mobile applications, there has been a surge in medical and health related mobile programs. These modern smart phones provide a readily available platform for deploying healthcare related services. By employing their computing resources and connectivity, health institutions can easily provide telehealth services to chronically ill patients. In this work, we put forward a mobile framework for providing personalized diabetes telehealth. Through leveraging the power of smart phones and wireless connectivity, better care and improved quality of life can be provided for diabetic patients by this framework.

原文English
主出版物標題Proceedings - 2012 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2012
頁面97-102
頁數6
DOIs
出版狀態Published - 2012 十二月 1
事件2012 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2012 - Tainan, Taiwan
持續時間: 2012 十一月 162012 十一月 18

出版系列

名字Proceedings - 2012 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2012

Other

Other2012 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2012
國家Taiwan
城市Tainan
期間12-11-1612-11-18

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

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