4th International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies"

Research Article

Development of a Smart Environment for Diabetes Data Analysis and New Knowledge Mining

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  • @INPROCEEDINGS{10.4108/icst.mobihealth.2014.257326,
    author={Eleni Georga and Vasilios Protopappas and Christos Bellos and Vassiliki Potsika and Eleni Arvaniti and Dimitrios Makriyiannis and Dimitrios Fotiadis},
    title={Development of a Smart Environment for Diabetes Data Analysis and New Knowledge Mining},
    proceedings={4th International Conference on Wireless Mobile Communication and Healthcare - "Transforming healthcare through innovations in mobile and wireless technologies"},
    publisher={IEEE},
    proceedings_a={MOBIHEALTH},
    year={2014},
    month={12},
    keywords={type 1 and 2 diabetes diabetic complications clinical information system mobile health devices data mining},
    doi={10.4108/icst.mobihealth.2014.257326}
}
  • Eleni Georga
    Vasilios Protopappas
    Christos Bellos
    Vassiliki Potsika
    Eleni Arvaniti
    Dimitrios Makriyiannis
    Dimitrios Fotiadis
    Year: 2014
    Development of a Smart Environment for Diabetes Data Analysis and New Knowledge Mining
    MOBIHEALTH
    IEEE
    DOI: 10.4108/icst.mobihealth.2014.257326
Eleni Georga1,*, Vasilios Protopappas1, Christos Bellos1, Vassiliki Potsika1, Eleni Arvaniti2, Dimitrios Makriyiannis2, Dimitrios Fotiadis1
  • 1: Unit of Medical Technology and Intelligent Information Systems, Department of Materials Science and Engineering, University of Ioannina, GR 451 10, Ioannina, Greece
  • 2: Department of Endocrinology, Hatzikosta General Hospital, GR 454 45, Ioannina, Greece
*Contact email: egeorga@cs.uoi.gr

Abstract

Diabetes care requires the control of an extensive set of clinical and non-clinical variables which affect the metabolism of glucose in order to prevent acute complications (i.e. hypoglycemic episodes) and to reduce the risk of long-term ones. In this study, we present a clinical information system which records medical (clinical and laboratory) parameters related to Type 1 and 2 diabetes and, mainly, takes a significant step forward towards the collection of lifestyle data. In addition, the intuitive representation and the intelligent analysis of all these multi-parameter data enable the clinician to interpret the status of each patient and support him indirectly in the development of an effective individualized treatment plan.

Keywords
type 1 and 2 diabetes diabetic complications clinical information system mobile health devices data mining
Published
2014-12-05
Publisher
IEEE
http://dx.doi.org/10.4108/icst.mobihealth.2014.257326
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