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DiabeticLink: A Health Big Data System for Patient Empowerment and Personalized Healthcare

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Smart Health (ICSH 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8040))

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Abstract

Ever increasing rates of diabetes and healthcare costs have focused our attention on this chronic disease to provide a health social media system to serve multi-national markets. Our DiabeticLink system has been developed in both the US and Taiwan markets, addressing the needs of patients, caretakers, nurse educators, physicians, pharmaceutical company and researchers alike to provide features that encourage social connection, data sharing and assimilation and educational opportunities. Some important features DiabeticLink offers include diabetic health indicator tracking, electronic health record (EHR) search, social discussion and Q&A forums, health information resources, diabetic medication side effect reporting, healthy eating recipes and restaurant recommendations. We utilize advanced data, text and web mining algorithms and other computational techniques that are relevant to healthcare decision support and cyber-enabled patient empowerment.

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References

  1. Center for Disease Control and Prevention: National Diabetes Fact Sheet (2011), http://www.cdc.gov/diabetes/pubs/pdf/ndfs_2011.pdf

  2. American Diabetes Association: Economic Costs of Diabetes in the United States in 2012. Diabetes Care 36, 1033–1046 (2013)

    Google Scholar 

  3. National Research Council, Computational Technology for Effective Health Care: Immediate Steps and Strategic Directions. The National Academies Press, Washington, DC (2009)

    Google Scholar 

  4. Institute of Medicine, To Err Is Human: Building a Safer Health System. National Academy Press, Washington, DC (2000)

    Google Scholar 

  5. Anderson, G., Markovich, P.: Multinational Comparisons of Health Systems Data. The Commonwealth Fund, New York (2009)

    Google Scholar 

  6. Fairclough, G.: In China, Rx for Ailing Health System. Wall Street Journal (October 15, 2009)

    Google Scholar 

  7. Wactlar, H., Pavel, M., Barkis, W.: Can Computer Science Save Healthcare? IEEE Intelligent Systems (September/October 2011)

    Google Scholar 

  8. Bandura, A.: Self-efficacy in health functioning. In: Ayers, S., et al. (eds.) Cambridge Handbook of Psychology, Health & Medicine, 2nd edn. Cambridge University Press, New York (2007)

    Google Scholar 

  9. Fu, T., Abbasi, A., Chen, H.: A Focused Crawler for Dark Web Forums. Journal of the American Society for Information Science and Technology 61(6) (2010)

    Google Scholar 

  10. Chang, T.J., Jiang, Y.D., Chang, C.H., Chung, C.H., Yu, N.C., Chuang, L.M.: Accountability, utilization and providers for diabetes management in Taiwan, 2000–2009: An analysis of the National Health Insurance database. Journal of the Formosan Medical Association (2012)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Artificial Intelligence Lab, University of Arizona, Tucson, Arizona, USA

    Hsinchun Chen & Sherri Compton

  2. Health Information Research, National Taiwan University, Taipei, Taiwan

    Owen Hsiao

Authors
  1. Hsinchun Chen
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  2. Sherri Compton
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  3. Owen Hsiao
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Editor information

Editors and Affiliations

  1. MIS Department, The University of Arizona, Tucson, Arizona, U.S.A.

    Daniel Zeng

  2. Department of Information Science and Technology, Drexel University, USA

    Christopher C. Yang

  3. Dept. of Computer Science and Information Engineering, Institute of Medical Informatics, National Cheng Kung University, Tainan, Taiwan

    Vincent S. Tseng

  4. Tsinghua University, Beijing, China

    Chunxiao Xing

  5. Department of Management Information Systems, University of Arizona, McClelland Hall 430, 1130 East Helen Street, 85721, Tucson, AZ, USA

    Hsinchun Chen

  6. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Fei-Yue Wang

  7. Chinese Academy of Sciences, Beijing, China

    Xiaolong Zheng

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© 2013 Springer-Verlag Berlin Heidelberg

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Chen, H., Compton, S., Hsiao, O. (2013). DiabeticLink: A Health Big Data System for Patient Empowerment and Personalized Healthcare. In: Zeng, D., et al. Smart Health. ICSH 2013. Lecture Notes in Computer Science, vol 8040. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39844-5_10

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  • DOI: https://doi.org/10.1007/978-3-642-39844-5_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39843-8

  • Online ISBN: 978-3-642-39844-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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