Development and verification of fuzzy situation classes for glaucoma monitoring

Author

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

Author_Institution

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

Volume

3

fYear

1997

fDate

30 Oct-2 Nov 1997

Firstpage

1112

Abstract

Monitoring glaucoma can help fighting one of the leading blindness causes in the western industrial countries. Based on a time-related documentation of findings (IOP, papilla, visual field) and their assessment at a certain abstraction level (“normal”, “increased”, etc.) we combine these fuzzy classes up to the situations “normal”, “suspect glaucomatous”, “glaucomatous”, “pathological”. This final decision is presented to the user in its development over time. Fine tuning of the fuzzy rule set was realized using 68 cases. Verification on the basis of 50 cases shows a sensitivity of 88% and a specificity of 86%

Keywords

fuzzy logic; inference mechanisms; medical expert systems; patient monitoring; pattern classification; vision defects; abstraction level; fine tuning; fuzzy rule set; fuzzy situation classes; glaucoma monitoring; intraocular pressure; papilla; rule inference; sensitivity; specificity; time-related documentation; verification; visual field; Biomedical equipment; Biomedical monitoring; Blindness; Documentation; Fuzzy sets; Hospitals; Medical services; Patient monitoring; Pressure measurement; Time measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE

Conference_Location

Chicago, IL

ISSN

1094-687X

Print_ISBN

0-7803-4262-3

Type

conf

DOI

10.1109/IEMBS.1997.756546

Filename

756546