DiabeticLink: A health big data system for patient empowerment and personalized healthcare

Hsinchun Chen, Sherri Compton, Owen Hsiao

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

14 Scopus citations


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.

Original languageEnglish (US)
Title of host publicationSmart Health - International Conference, ICSH 2013, Proceedings
Number of pages13
StatePublished - 2013
Event2013 International Conference for Smart Health, ICSH 2013 - Beijing, China
Duration: Aug 3 2013Aug 4 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8040 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other2013 International Conference for Smart Health, ICSH 2013


  • Diabetes
  • Health Big Data
  • data mining
  • health social media

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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