• DocumentCode
    2845676
  • Title

    Expert system to support the diagnosis of thyroid nodules

  • Author

    Okida, Sergio ; de Azevedo, F.M. ; Marques, J.L.B.

  • Author_Institution
    Univ. Federal de Santa Catarina, Florianapolis
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    2365
  • Abstract
    This paper presents the SADNT-System to Support the Diagnosis of Thyroid Nodules (TNs). TNs are common clinical problems, involving a great number of diseases with different biological behaviors, from a goiter to a cancer. The SADNT is an expert system (ES) integrated to a database, that uses production rules, certainty factors (CFs) and qualitative reasoning for the computational representation of knowledge. The SADNT integrates information referring to the patient´s clinical data (history and physical examination) and the complementary exams (ultrasound, laboratory tests, cytology and thyroid scan) aiming to support the clinician in the diagnosis of TNs. This system is composed by two ES: an ES that is based on clinical data which supplies the initial diagnosis in terms of the chance of the nodule to be malign; a second ES integrates the results of the complementary exams to the diagnostic provided by the first ES, to give a final diagnosis. The SADNT was evaluated by the expert of the domain and the results of the simulations met the expectations. The representation of the knowledge through the production rules has been appropriate for the problem presented here. A system that integrates the information of the several types of exams and procedures, avoiding that relevant information of not being appraised, is an important tool for supporting the diagnosis of TNs
  • Keywords
    cancer; common-sense reasoning; diseases; knowledge representation; medical diagnostic computing; medical expert systems; SADNT expert system; cancer; certainty factors; computational representation of knowledge; diseases; goitre; production rules; qualitative reasoning; thyroid nodules diagnosis; Biology computing; Cancer; Databases; Diagnostic expert systems; Diseases; History; Laboratories; Production systems; Testing; Ultrasonic imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
  • Conference_Location
    Chicago, IL
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-6465-1
  • Type

    conf

  • DOI
    10.1109/IEMBS.2000.900620
  • Filename
    900620