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Evaluation of Rgp Contact Lens Fitting in Keratoconus Patients Using Hierarchical Fuzzy Model and Genetic Algorithms Publisher Pubmed



Falahati Marvast F1 ; Arabalibeik H2 ; Alipour F3 ; Sheikhtaheri A4 ; Nouri L3 ; Soozande M2 ; Yarmahmoodi M2
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Source: Studies in Health Technology and Informatics Published:2016


Abstract

Keratoconus is a progressive non-inflammatory disease of the cornea. Rigid gas permeable contact lenses (RGPs) are prescribed when the disease progresses. Contact lens fitting and assessment is very difficult in these patients and is a concern of ophthalmologists and optometrists. In this study, a hierarchical fuzzy system is used to capture the expertise of experienced ophthalmologists during the lens evaluation phase of prescription. The system is fine-tuned using genetic algorithms. Sensitivity, specificity and accuracy of the final system are 88.9%, 94.4% and 92.6% respectively. © 2016 The authors and IOS Press. All rights reserved.
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