KAVAS-2: Knowledge Acquisition, Visualization and Assessment System

J L Talmon; J Brender; M Demeester; P Drosos; J Grimson; A M Langsig; P McNair; P Nykänen; R O'Moore; A Rossi Mori

doi:10.1016/0169-2607(94)90026-4

KAVAS-2: Knowledge Acquisition, Visualization and Assessment System

Comput Methods Programs Biomed. 1994 Oct;45(1-2):105-9. doi: 10.1016/0169-2607(94)90026-4.

Authors

J L Talmon¹, J Brender, M Demeester, P Drosos, J Grimson, A M Langsig, P McNair, P Nykänen, R O'Moore, A Rossi Mori, et al.

Affiliation

¹ Department of Medical Informatics, University of Limburg, Maastricht, The Netherlands.

PMID: 7889737
DOI: 10.1016/0169-2607(94)90026-4

Abstract

The objective of KAVAS-2 is the development of a tool, named KAVIAR, with which domain experts can make their knowledge explicit. It contains components for (computer assisted) knowledge elicitation and for machine learning. A key issue in KAVAS is the assessment of the quality of the classification and domain models built. Various quality measures are available and implemented in KAVIAR to assess the quality of models, specifically those developed from data bases by machine learning techniques.

MeSH terms

Computer Simulation*
Evaluation Studies as Topic
Expert Systems*
Models, Theoretical
Quality Control
Systems Integration
User-Computer Interface