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, Menière’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.
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Viikki, K., Juhola, M. (2001). Refining the Knowledge Base of an Otoneurological Expert System. In: Crespo, J., Maojo, V., Martin, F. (eds) Medical Data Analysis. ISMDA 2001. Lecture Notes in Computer Science, vol 2199. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45497-7_42
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DOI: https://doi.org/10.1007/3-540-45497-7_42
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