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Trends and Applications in Knowledge Discovery and Data Mining pp 91–103Cite as

A Cloud Based Type-2 Diabetes Mellitus Lifestyle Self-Management System

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9441))

Abstract

In this paper, we designed a patient-centric cloud based diabetes lifestyle management system. It is composed of three layers namely sensing, communication and user interface. The goal of this cloud based diabetes lifestyle management system is to provide Type-2 diabetes mellitus patients useful information to remind user’s blood sugar level. The function of the sensor networks in this framework is to collect the data from human body and human activity as well as environmental information that may have effects on the healthy statement of the diabetes patients. The communication and central server part will handle the data exchange and data analysis that help to generate a final decision data and sent to user interface to remind the user of valuable information. Different from traditional e-health system, due to the diabetes patients are prone to effect by weather and environment varying. Therefore, the presented approach provide a rule algorithm which enables the rescue decision in the cloud server and transmit through the communication level, and finally provide a integrated user interface for diabetes users. An early warning user interface for diabetes patents has been designed and presented in this paper.

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Author information

Authors and Affiliations

  1. Department of Computer Science and Information Engineering, Tamkang University, New Taipei, Taiwan

    Shih-Hao Chang & Chih-Ning Li

Authors
  1. Shih-Hao Chang
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  2. Chih-Ning Li
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Corresponding author

Correspondence to Shih-Hao Chang .

Editor information

Editors and Affiliations

  1. Institute of Infocomm Research, Singapore, Singapore

    Xiao-Li Li

  2. Ho Chi Minh City University of Tech, Ho Chi Minh City, Vietnam

    Tru Cao

  3. School of Information Systems, Singapore Management University, Singapore, Singapore

    Ee-Peng Lim

  4. Nanjing University, Nanjing, China

    Zhi-Hua Zhou

  5. Science & Technology, Japan Advanced Institute of, Nomi-shi, Ishikawa, Japan

    Tu-Bao Ho

  6. The University of Hong Kong, Hong Kong, China

    David Cheung

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© 2015 Springer International Publishing Switzerland

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Chang, SH., Li, CN. (2015). A Cloud Based Type-2 Diabetes Mellitus Lifestyle Self-Management System. In: Li, XL., Cao, T., Lim, EP., Zhou, ZH., Ho, TB., Cheung, D. (eds) Trends and Applications in Knowledge Discovery and Data Mining. Lecture Notes in Computer Science(), vol 9441. Springer, Cham. https://doi.org/10.1007/978-3-319-25660-3_8

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  • DOI: https://doi.org/10.1007/978-3-319-25660-3_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25659-7

  • Online ISBN: 978-3-319-25660-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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