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An application of machine learning techniques for the classification of glaucomatous progression

Lazarescu, Mihai, Turpin, Andrew and Venkatesh, Svetha 2002, An application of machine learning techniques for the classification of glaucomatous progression, in Structural, syntactic, and statistical pattern recognition : joint IAPR International Workshops SSPR 2002 and SPR 2002 proceedings, Springer, [Berlin, Germany], pp. 243-251, doi: 10.1007/3-540-70659-3_25.

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Title An application of machine learning techniques for the classification of glaucomatous progression
Author(s) Lazarescu, Mihai
Turpin, Andrew
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Conference name International Workshop on Syntactic and Structural Pattern Recognition (9th : 2002 : Ontario, Canada)
Conference location Ontario, Canada
Conference dates 6-9 Aug. 2002
Title of proceedings Structural, syntactic, and statistical pattern recognition : joint IAPR International Workshops SSPR 2002 and SPR 2002 proceedings
Editor(s) Caelli, Terry
Amin, Adnan
Duin, Robert P. W.
Kamel, Mohamed
de Ridder, Dick
Publication date 2002
Conference series International Workshop on Syntactic and Structural Pattern Recognition
Start page 243
End page 251
Total pages 9
Publisher Springer
Place of publication [Berlin, Germany]
Keyword(s) machine learning
data analysis
decision trees
incremental learning algorithm
dataset
Summary This paper presents an application of machine learning to the problem of classifying patients with glaucoma into one of two classes:stable and progressive glaucoma. The novelty of the work is the use of new features for the data analysis combined with machine learning techniques to classify the medical data. The paper describes the new features and the results of using decision trees to separate stable and progressive cases. Furthermore, we show the results of using an incremental learning algorithm for tracking stable and progressive cases over time. In both cases we used a dataset of progressive and stable glaucoma patients obtained from a glaucoma clinic.
ISBN 3540440119
Language eng
DOI 10.1007/3-540-70659-3_25
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2002, Springer-Verlag Berlin Heidelberg
Persistent URL http://hdl.handle.net/10536/DRO/DU:30044869

Document type: Conference Paper
Collection: School of Information Technology
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