Neurofuzzy and EUBAFES as tools for knowledge discovery in visual field data

Author

Zahlmann, G. ; Scherf, M. ; Wegner, A.

Author_Institution

GSF-Nat. Res. Center for Environ. & Health, Neuherberg, Germany

Volume

3

fYear

1998

fDate

29 Oct-1 Nov 1998

Firstpage

1360

Abstract

A knowledge based glaucoma monitor based on papilla findings, intraocular pressure and visual field data has been developed successfully. To explain and interpret the classifier decision concerning the visual field data in the single decision and over time a neurofuzzy approach has been applied. A distance based feature selection approach is used to find a feature subset which leads to well separated classes in the measurement space. It is also used as first step to get clusters of interest for neurofuzzy interpretation

Keywords

computerised monitoring; data mining; eye; fuzzy neural nets; knowledge based systems; medical signal processing; patient monitoring; vision defects; EUBAFES; feature subset; interest clusters; intraocular pressure; knowledge discovery tools; measurement space; neurofuzzy; papilla findings; single decision; Clustering algorithms; Fluctuations; Hospitals; Lighting; Monitoring; Neural networks; Optical sensors; Pathology; Retina; Watches;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE

Conference_Location

Hong Kong

ISSN

1094-687X

Print_ISBN

0-7803-5164-9

Type

conf

DOI

10.1109/IEMBS.1998.747132

Filename

747132