用确定性因子法检测白内障的专家系统

None Vania Jusenda Prasetya, Herliyani Hasanah, Nurmalitasari Nurmalitasari
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引用次数: 0

摘要

白内障是一种眼部疾病,会导致眼部视力受损,是印尼致盲的最主要原因。在印度尼西亚,50岁及以上的老年人中,白内障致盲率已达35%。随着技术的发展和眼科医生的短缺,需要一个专家系统来辅助眼健康专家,将专家智能以基于事实的访谈结果数据的形式纳入系统。因此,有了这个专家系统,希望它可以帮助社会发现眼睛中的白内障,作为早期预防患白内障的机会的一种形式。系统采用确定性因子法对输入系统的事实确定确定性值,得到一个93%的百分比水平,系统用户可以通过该方法从每个症状中找出疾病的类型
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Expert System For Detection of Cataracts Disease Using The Certainty Factor Method
A cataract is an eye disease that causes visual impairment in the eye, the most significant cause of blindness in Indonesia. The rate of blindness in Indonesia caused by cataracts has reached 35% among the elderly 50 years and over. With the development of technology and the shortage of ophthalmologists, an expert system is needed to assist eye health experts by incorporating expert intelligence into the system in the form of fact-based data from the interview results. So that with this expert system, it is hoped that it can help society find cataracts in the eye as a form of early prevention of the chance of suffering from cataracts. The certainty factor method is used in the system to determine the certainty value of the facts that have been entered into the system to obtain a percentage level with a value of 93% so that with the help of this method, system users can find out the type of disease from each symptom
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Comparative Analysis of Restock Needs Bottled Water Using K-Nearest Neighbor (K-NN), Support Vector Machine (SVM), and the Naïve Bayes Algorithm Classification of Apple Types Using Principal Component Analysis and K-Nearest Neighbor Expert System For Detection of Cataracts Disease Using The Certainty Factor Method
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