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Nearest neighbour classification of otoneurological data.

作者信息

Viikki Kati, Tapani Matti, Juhola Martti, Pyykkö Ilmari

机构信息

Department of Computer and Information Sciences, 33014 University of Tampere, Finland.

出版信息

Stud Health Technol Inform. 2002;90:450-4.

PMID:15460735
Abstract

We studied the nearest neighbour classification of patient cases with benign positional vertigo, Meniere's disease, sudden deafness, traumatic vertigo, vestibular neuritis, and vestibular schwannoma. The classification results were compared to the inference results obtained by an otoneurological expert system ONE whose inference mechanism somewhat resembles the classical nearest neighbour method. With respect to the predictive accuracy, the classification results of these two systems agreed. The best predictive accuracy for the expert system ONE was 79.7% and for the nearest neighbour method 80.5%. However, differences in the true positive rates for sudden deafness, traumatic vertigo, vestibular neuritis, and vestibular schwannoma were found. The nearest neighbour classification results will be used in the refinement of ONE's knowledge base.

摘要

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