Abstract
This paper describes the results of the knowledge acquisition process which resulted in NIVTIS. NIVTIS is our system for the interpretation of non-invasive test data obtained from patients that may suffer from peripheral vascular disease in the legs. We briefly describe the tests that are regularly performed in a vascular laboratory. Then we shortly motivate our choice to use machine learning techniques in the knowledge acquisition process. The strategy for obtaining a reference interpretation of the non-invasive test data that are used during the learning phase is described. Also some preliminary evaluation results are given. We conclude that machine learning techniques were valuable tools for the development of our system.
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© 1989 Springer-Verlag Berlin Heidelberg
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Schijven, R.A.J., Talmon, J.L., Ermers, E., Penders, R., Kitslaar, P.J.E.H.M. (1989). Machine Learning as a Knowledge Acquisition Tool Application in the Domain of the Interpretation of Test Results. In: Hunter, J., Cookson, J., Wyatt, J. (eds) AIME 89. Lecture Notes in Medical Informatics, vol 38. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-93437-7_4
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DOI: https://doi.org/10.1007/978-3-642-93437-7_4
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