Classifying visual field loss in glaucoma through baseline matching of stable reference sequences

Meng, S, Turpin, A, Lazarescu, M and Ivins, J 2005, 'Classifying visual field loss in glaucoma through baseline matching of stable reference sequences', in M. Smith (ed.) Proceedings of 2005 International Conference on Machine Learning and Cybernetics, Guangzhou, China, 18-21 August 2005.


Document type: Conference Paper
Collection: Conference Papers

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Title Classifying visual field loss in glaucoma through baseline matching of stable reference sequences
Author(s) Meng, S
Turpin, A
Lazarescu, M
Ivins, J
Year 2005
Conference name International Conference on Machine Learning and Cybernetics
Conference location Guangzhou, China
Conference dates 18-21 August 2005
Proceedings title Proceedings of 2005 International Conference on Machine Learning and Cybernetics
Editor(s) M. Smith
Publisher IEEE
Place of publication Piscataway, NJ
Abstract Glaucoma is a common disease of the eye that often results in partial blindness. The main symptom of glaucoma is progressive loss of sight in the visual field over time. The clinical management of glaucoma involves monitoring the progress of the disease using a sequence of regular visual field tests. However, there is currently no universally accepted standard method for classifying changes in the visual field test data. Sequence matching techniques typically rely on similarity measures. However, visual field measurements are very noisy, particularly in people with glaucoma. It is therefore difficult to establish a reference data set including both stable and progressive visual fields. This paper proposes a method that uses a "baseline" computed from a query sequence, to match stable sequences in a database of visual field measurements collected from volunteers. The purpose of the new method is to classify a given query sequence as being stable or progressive. The results suggest that the new method gives a significant improvement in accuracy for identifying progressive sequences, though there is a small penalty for stable sequences.
Subjects Computer-Human Interaction
Keyword(s) sequence matching
visual field
glaucoma change probability
confidence interval
DOI - identifier 10.1109/ICMLC.2005.1527581
Copyright notice © 2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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