• DocumentCode
    2226207
  • Title

    Developing a decision support system to determine carbohydrate intake of diabetic patients

  • Author

    Pintér, Patrícia ; Vajda, Lóránd ; Kovács, Levente

  • Author_Institution
    Healthcare Technol. Knowledge Centre, Budapest Univ. of Technol. & Econ., Budapest, Hungary
  • fYear
    2012
  • fDate
    26-28 Jan. 2012
  • Firstpage
    427
  • Lastpage
    430
  • Abstract
    The use of telecommunication methods for healthcare purposes is nowadays inevitable to provide satisfactory service. This article introduces and investigates the concept of a decision support system using telemedicine solutions, namely supporting the medical staff and the patient to treat diabetes by determining diet plans and monitoring food consumption (focusing on carbohydrate intake). The system´s requirements are to support the monitoring of the patient´s well-being, making a choice on the right therapy, the identification of deterioration of health and alert before the patient´s situation gets worse. After summarizing the currently existing diet planning systems, the current article focuses on the presentation of the preliminary work, an application developed by Healthcare Technologies Knowledge Centre of Budapest University of Technology and Economics and the Dept. of Control Engineering and Information Technology. The article introduces in detail the homecare supporting system which is the base of the application, the next steps of the specification and the existing literature. Along with present tasks the future plans are also presented.
  • Keywords
    decision support systems; health care; patient treatment; telemedicine; Budapest university of technology and economics; carbohydrate intake; decision support system; diabetes treatment; diabetic patients; diet planning systems; food consumption monitoring; healthcare purposes; healthcare technologies knowledge centre; homecare supporting system; patient well-being; telecommunication methods; telemedicine solutions; Biomedical monitoring; Diabetes; Diseases; Educational institutions; Monitoring; Telemedicine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Applied Machine Intelligence and Informatics (SAMI), 2012 IEEE 10th International Symposium on
  • Conference_Location
    Herl´any
  • Print_ISBN
    978-1-4577-0196-2
  • Type

    conf

  • DOI
    10.1109/SAMI.2012.6209004
  • Filename
    6209004