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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
Authors
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Authors Affiliations
  1. 1. Medical Informatics Department, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, Iran
  2. 2. Research Centre for Biomedical Technology and Robotics (RCBTR), Tehran University of Medical Sciences, IK Hospital Complex, Keshavarz Blvd, Tehran, Iran
  3. 3. Farabi Eye Hospital, Tehran University of Medical Sciences, Tehran, Iran
  4. 4. Health Information Management Department, School of Health Management and Information Science, Iran University of Medical Sciences, Tehran, Iran

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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