Modelling oculomotor data with decision tree induction
Viikki, K.; Isotalo, E.; Juhola, M.; Pyykkö, I.
Studies in Health Technology and Informatics 68: 660-663
1999
ISSN/ISBN: 0926-9630 PMID: 10724973 Document Number: 503681
We studied relationships between oculomotor test results and the site of lesion in the data set containing patient cases with operated cerebello-pontine angle tumour, operated hemangioblastoma, infarction of cerebello-brainstem or Meniere's disease and control subjects. Several classification models were generated by decision tree induction to find parameter combinations which are efficient in classification. The studied data were characterised by missing values and scarcity of example cases. This study suggested that decision tree induction can be a useful method even in problematic real world classification tasks. Models generated by decision tree induction and evaluated by an expert physician may give information that is beneficial for research.