A mobile framework for personalized diabetes telecare

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2012 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2012
Pages97-102
Number of pages6
DOIs
Publication statusPublished - 2012 Dec 1
Event2012 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2012 - Tainan, Taiwan
Duration: 2012 Nov 162012 Nov 18

Publication series

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

Other

Other2012 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2012
CountryTaiwan
CityTainan
Period12-11-1612-11-18

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

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