Supporting a Medical Diagnostic Process by Selected AI Methods: an Asperger Syndrome Case Study

Authors

  • Tamar Kakiashvili
  • Waldemar Koczkodaj
  • Duncan Matheson
  • Phyllis Montgomery
  • Kalpdrun Passi
  • Filip Rybakowski
  • Ryszard Tadeusiewicz
  • Marc Woodbury-Smith

Abstract

A medical knowledge-driven diagnostic process can be supported by AI methods as presented here by an Asperger Syndrome case study. Two methods: consistency-driven pairwise comparisons (CDPC) and automatic understanding (AU) are presented in this study. Deficiencies of a data-driven model for the medical diagnostic process and clinical reasoning are also discussed.

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Published

15.06.2008

Issue

Vol. 10 No. 1 (2008): Studia Informatica. Systems and Information Technology

Section

Article

How to Cite

Kakiashvili, T., Koczkodaj, W., Matheson, D., Montgomery, P., Passi, K., Rybakowski, F., Tadeusiewicz, R., & Woodbury-Smith, M. (2008). Supporting a Medical Diagnostic Process by Selected AI Methods: an Asperger Syndrome Case Study. Studia Informatica. System and Information Technology, 10(1), 5-13. https://czasopisma.uph.edu.pl/studiainformatica/article/view/2827