NDLI: Application of fuzzy sets to the diagnosis of glaucoma

Content Provider	IEEE Xplore Digital Library
Author	Losch, B.
Copyright Year	1996
Description	Author affiliation: Dept. of Ophthalmology, West Virginia Univ., Morgantown, WV, USA (Losch, B.)
Abstract	Glaucoma is one of the leading causes of blindness in the world. There are several methods of treatment which can impede glaucoma's progression, but there is no way to reverse the damage already done. For this reason, if is important to diagnose glaucoma as early as possible to minimize the damage to the optic nerve. While there are many different tests used to detect the damage caused by glaucoma, there is no one test that looks at all of the possible effects. A methodology for using fuzzy set theory to combine these results into one diagnosis was developed. The methodology included two variations of three different techniques resulting in six different algorithms. The algorithms were verified with a set of patient data and the accompanying physician's diagnosis. The results of the algorithms were compared to determine the ones with a higher degree of correlation to the physician's diagnosis.
Starting Page	1550
Ending Page	1552
File Size	259196
Page Count	3
File Format	PDF
ISBN	0780338111
DOI	10.1109/IEMBS.1996.647547
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1996-10-31
Publisher Place	Netherlands
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fuzzy sets Testing Hypertension Blindness Impedance Set theory Anatomy Shape Performance evaluation Statistical analysis
Content Type	Text
Resource Type	Article

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