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Evaluation of RGP Contact Lens Fitting in Keratoconus Patients Using Hierarchical Fuzzy Model and Genetic Algorithms
Fatemeh Falahati Marvast, Hossein Arabalibeik, Fatemeh Alipour, Abbas Sheikhtaheri, Leila Nouri, Mehdi Soozande, Masood Yarmahmoodi
124 - 129
10.3233/978-1-61499-625-5-124
Studies in Health Technology and Informatics
Volume 220: Medicine Meets Virtual Reality 22
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.

$35.00 / €27.50 / £22.00
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