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A Fuzzy Approach to Determining Critical Factors of Diabetic Retinopathy and Enhancing Data Classification Accuracy

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Abstract

Diabetic retinopathy (DR) is a chronic and progressive sight-threatening complication of retinal microvasculature associated with diabetes mellitus. These morphological subtle variations in the retina can result in visual impairment or eventual vision loss if not treated in time. The early detection and diagnosis of DR is mandatory to safeguard the patient’s vision. To investigate and intervene at an earlier stage, we aim to systematically extract and analyze different DR factors, such as retinal condition of eyes, presence of microaneurysms (MAs), MAs with exudate, diameter of optical disk (OD), and Euclidian distance between macula and center of the OD. Considering the DR attributes, first we find out the important attributes of DR by applying fuzzy analytical network process to rank attributes from the most to the least related factors to DR. Then, a transformed fuzzy neural network is created to enhance the classification accuracy. Finally, we extract association rules among the selected attributes of DR to reveal their importance and degree of severity. Findings of this study reveal a new perspective on the treatment of DR at the early stage and prevention from any complications to improve the quality of life of all people.

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Acknowledgements

This study was funded in part by the Ministry of Science and Technology, Taiwan, under Grants MOST108-2321-B-027-001, MOST107-2221-E-027-113 and MOST106-2221-E-027-001 and by a joint project between the National Taipei University of Technology and the Chang Gung Memorial Hospital under Grant NTUT-CGMH-106-05.

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Authors and Affiliations

  1. Department of Electrical Engineering, National Taipei University of Technology, Taipei, 10608, Taiwan

    Yo-Ping Huang, Haobijam Basanta & Tzu-Hao Wang

  2. Department of Computer Science and Information Engineering, National Taipei University, New Taipei City, 23741, Taiwan

    Yo-Ping Huang

  3. Department of Neurology, Chang Gung Memorial Hospital, Linkou, Taoyuan, 33333, Taiwan

    Hung-Chou Kuo

  4. Department of Ophthalmology, Chang Gung Memorial Hospital, Linkou, Taoyuan, 33333, Taiwan

    Wei-Chi Wu

  5. College of Medicine, Chang Gung University, Taoyuan, 33333, Taiwan

    Wei-Chi Wu

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  1. Yo-Ping Huang
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Correspondence to Yo-Ping Huang.

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Huang, YP., Basanta, H., Wang, TH. et al. A Fuzzy Approach to Determining Critical Factors of Diabetic Retinopathy and Enhancing Data Classification Accuracy. Int. J. Fuzzy Syst. 21, 1844–1857 (2019). https://doi.org/10.1007/s40815-019-00668-0

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  • DOI: https://doi.org/10.1007/s40815-019-00668-0

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