Integrated Soft Computing Methodology for Diagnosis and Prediction with Application to Glaucoma Risk Evaluation

M. Ulieru (Canada) and G. Pogrzeba (Germany)

Keywords

Hybrid Systems, Fuzzy Diagnosis, Evolutionary Optimization, Glaucoma, Risk Evaluation, Damage Progression Monitoring/Prediction.

Abstract

A methodology for diagnosis and prediction which integrates several soft computing techniques is introduced. Already implemented in the medical context of glaucoma diagnosis using several software packages developed by Transfertech GmbH Germany, the methodology is easily extendable to other medical as well as technical risk evaluation and damage progression applications.

Important Links:

• DOI:
• From Proceeding (357) Artificial Intelligence and Soft Computing - 2002

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