Falahati Marvast, F. and Arabalibeik, H. and Alipour, F. and Sheikhtaheri, A. and Nouri, L. and Soozande, M. and Yarmahmoodi, M. (2016) Evaluation of RGP contact lens fitting in keratoconus patients using hierarchical fuzzy model and genetic algorithms. Studies in Health Technology and Informatics, 220. pp. 124-129.
Full text not available from this repository.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.
| Item Type: | Article |
|---|---|
| Additional Information: | cited By 0 |
| Depositing User: | eprints admin |
| Date Deposited: | 02 Jul 2018 10:15 |
| Last Modified: | 02 Jul 2018 10:15 |
| URI: | http://eprints.iums.ac.ir/id/eprint/4200 |
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