On the Application of Decision Trees to the Problem of Determining Progressive Glaucoma

M. Lazarescu and A. Turpin (Australia)

Keywords

Machine Learning, Decision Trees.

Abstract

This paper presents an application of decision trees to determine whether patients have stable or progressive glaucoma. We describe the data and the set of features used and we present the results obtained from the application of the decision tree classi´Čüer C4.5 to a real dataset. We also compare our results with previous work done using the same dataset.

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