Title :
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
fDate :
30 Oct-2 Nov 1997
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;
Conference_Titel :
Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-4262-3
DOI :
10.1109/IEMBS.1997.756546
