基于模糊决策的青光眼检测方法

2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT) Pub Date : 2017-07-01 DOI:10.1109/ICCCNT.2017.8204187

Aseem John, Anurag Sharma, H. Singh, Virat Rehani

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引用次数: 4

摘要

在管理医疗保健问题的方法中，本工作提出了一个基于模糊的青光眼诊断决策框架。模糊规则是利用专家知识来处理患者的症状，并根据所构造的规则给出精确的决策。将所得结果与眼科医生的结果进行比较，发现准确率为88%。此外，所提出的技术效率高，计算成本低。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Fuzzy based decision making for detection of Glaucoma

In an approach to manage health care issues, this work proposed a Fuzzy based decision making framework for diagnosis of Glaucoma. The fuzzy rule-based makes use of expert knowledge to deal with patient's symptom and give a precise decision according to rules constructed. The results obtained are compared with those of the ophthalmologist and are found to have 88% accuracy. Also in addition the proposed technique is efficient having a low computational cost.

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2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT)

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