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IEEEICCI
2002
IEEE

Computational Intelligence for Medical Knowledge Acquisition with Application to Glaucoma

9 years 2 months ago
Computational Intelligence for Medical Knowledge Acquisition with Application to Glaucoma
This paper presents an approach that integrates computational intelligence/soft computing paradigms with clinical investigation methods and knowledge. Computational intelligence methods (including fuzzy logic, neural networks and genetic algorithms) deal in a suitable way with imprecision, uncertainty and partial truth. These aspects can be found quite often in practical medical activities and in medical knowledge. The proposed approach uses a knowledge discovery process in order to develop an intelligent system for diagnosis and prediction of glaucoma. The knowledge acquired is embedded in a fuzzy logic inference system. The resulting Neuro-fuzzy Glaucoma Diagnosis and Prediction System is expected to lower the effort, difficulties and risk cost related to this disease (the leading cause of blindness in North America.) Key words: Computational intelligence, fuzzy logic, knowledge discovery, glaucoma, risk evaluation, prediction
Nicolae Varachiu, Cynthia Karanicolas, Mihaela Uli
Added 15 Jul 2010
Updated 15 Jul 2010
Type Conference
Year 2002
Where IEEEICCI
Authors Nicolae Varachiu, Cynthia Karanicolas, Mihaela Ulieru
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