• DocumentCode
    2446260
  • Title

    Data Mining System applied to Endoscopic Image Base

  • Author

    Zemirline, A. ; Lecornu, Laurent ; Solaiman, B.

  • Author_Institution
    Dept. of ITI, GET/ENST Bretagne, Brest
  • Volume
    1
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    1357
  • Lastpage
    1362
  • Abstract
    Since 1980, many hospital information systems (HIS) came into being. These HIS are at the origin of the storage of huge medical data. Data mining is a domain which presents the most powerful tools for the extraction of knowledge and for structuring them. The first intelligent systems or assistance systems for medical diagnosis are the case-base reasoning systems. In these systems, the data mining method was integrated to improve them and to fill some gaps. We present an application of data mining which is based on case-base reasoning. The characteristic of this application is building knowledge base without integrating expert knowledge and we use this knowledge base to retrieve case from case base
  • Keywords
    case-based reasoning; data mining; diagnostic expert systems; medical diagnostic computing; medical information systems; patient diagnosis; assistance system; case-base reasoning system; data mining system; endoscopic image base; hospital information system; intelligent system; knowledge base; knowledge extraction; knowledge structure; medical diagnosis; Biomedical imaging; Data mining; Decision making; Hospitals; Information systems; Intelligent systems; Lesions; Machine learning; Medical diagnosis; Medical diagnostic imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Technologies, 2006. ICTTA '06. 2nd
  • Conference_Location
    Damascus
  • Print_ISBN
    0-7803-9521-2
  • Type

    conf

  • DOI
    10.1109/ICTTA.2006.1684578
  • Filename
    1684578