Evaluation of RGP Contact Lens Fitting in Keratoconus Patients Using Hierarchical Fuzzy Model and Genetic Algorithms
Falahati Marvast, F.; Arabalibeik, H.; Alipour, F.; Sheikhtaheri, A.; Nouri, L.; Soozande, M.; Yarmahmoodi, M.
Studies in Health Technology and Informatics 220: 124-129
2016
ISSN/ISBN: 1879-8365 PMID: 27046564 Document Number: 688749
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.