Refining the Knowledge Base 0f an Otoneurological Expert System

Authors:
Kati Viikki;Martti Juhola
Affiliations:
-;-
Venue:
ISMDA '01 Proceedings of the Second International Symposium on Medical Data Analysis
Year:
2001

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Abstract

This paper deals with the possibilities to refine the knowledge base of an otoneurological expert system ONE with the knowledge learned from data. The augmented knowledge base produces better results for benign positional vertigo, Meni`ere's disease, sudden deafness, traumatic vertigo, and vestibular schwannoma. The results of this study suggest that learning from data is useful in refining the knowledge base. However, the knowledge acquired from human experts is also needed.