• DocumentCode
    1581855
  • Title

    Health-Mining: a Disease Management Support Service based on Data Mining and Rule Extraction

  • Author

    Bei, Andrea ; De Luca, Stefano ; Ruscitti, Giancarlo ; Salamon, Diego

  • Author_Institution
    Enterprise Digital Archit., Rome
  • fYear
    2005
  • fDate
    6/27/1905 12:00:00 AM
  • Firstpage
    5466
  • Lastpage
    5470
  • Abstract
    The disease management is the collection of the processes aimed to control the health care and improving the quality at same time reducing the overall cost of the procedures. Our system, health-mining, is a decision support system with the objective of controlling the adequacy of hospitalization and therapies, determining the effective use of standard guidelines and eventually identifying better ones emerged from the medical practice (evidence based medicine). In realizing the system, we have the aim of creation of a path to admissions´ appropriateness criteria construction, valid at an international level. A main goal of the project is rule extraction and the identification of the rules adequate in term of efficacy, quality and cost reduction, especially in the view of fast changing technologies and medicines. We tested health-mining in a real test case for an Italian region, Regione Veneto, on the installation of pacemaker and ICD
  • Keywords
    data mining; decision support systems; diseases; health care; medical information systems; ICD; cost reduction; data mining; decision support system; disease management support service; efficacy; evidence based medicine; health care; health mining; pacemaker; rule extraction; Control systems; Costs; Data mining; Decision support systems; Diseases; Medical control systems; Medical services; Process control; Quality management; Testing; DSS; Decision Support System; Evidence Based Medicine; data mining; disease management; quality records;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-8741-4
  • Type

    conf

  • DOI
    10.1109/IEMBS.2005.1615720
  • Filename
    1615720