• DocumentCode
    10518
  • Title

    A Framework Using Computational Intelligence Techniques for Decision Support Systems in Medicine

  • Author

    Davi, C.C.M. ; Silveira, Denis S. ; Neto, F. B. Lima

  • Author_Institution
    Univ. de Pernambuco (UPE), Recife, Brazil
  • Volume
    12
  • Issue
    2
  • fYear
    2014
  • fDate
    Mar-14
  • Firstpage
    205
  • Lastpage
    211
  • Abstract
    The expressive growth in number of healthcare organizations has brought a great pressure on the Hospital Information Management. The increase in the number of patients imposes an extra burden to IT services of hospitals, whose information has to be used for administrative purposes but also has to be provided as actual aid for doctors. At the epicenter of this demand, Support Systems for Clinical Diagnostics, a kind of Decision Support Systems are especially designed to assist medical professionals in the exercise of the diagnosis itself. The two factors mentioned above (increase in the number of patients and growth in number of healthcare organizations) also demand the need for new and better knowledge management tools for these organizations. In line with this necessity, i.e. to build specialized applications of great efficacy in the shortest possible time, indicates that the design of a framework appears to be mandatory. A framework can be defined as an abstract design and implementation for application development on a particular problem domain. Here we provide the first ideas in the construction of an object-oriented framework for Clinical Diagnostics Supporting Systems development. Moreover we describe the first instance of the framework proposed, also the architecture and its principles of use.
  • Keywords
    decision support systems; health care; hospitals; knowledge management; medical diagnostic computing; medical information systems; object-oriented methods; IT services; abstract design; application development; clinical diagnostics supporting systems development; computational intelligence techniques; decision support systems; health care organizations; hospital information management; information technology; knowledge management tools; medical professionals; medicine; object-oriented framework; Computational modeling; Decision support systems; Hospitals; Laboratories; Medical diagnostic imaging; Software development; Computational Intelligence; Decision Support Systems; Framework; Medical Diagnostic;
  • fLanguage
    English
  • Journal_Title
    Latin America Transactions, IEEE (Revista IEEE America Latina)
  • Publisher
    ieee
  • ISSN
    1548-0992
  • Type

    jour

  • DOI
    10.1109/TLA.2014.6749539
  • Filename
    6749539