Nearest neighbour classification of otoneurological data.
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.
Department of Computer and Information Sciences, 33014 University of Tampere, Finland.
Kati
K
Viikki
Matti
M
Tapani
Martti
M
Juhola
Ilmari
I
Pyykkö
D003625:Data Collection; D006801:Humans; D009462:Neurology / Q000145:classification*; D010036:Otolaryngology / Q000145:classification*; D014717:Vertigo / Q000145:classification / Q000209:etiology*