کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6901940 1446495 2017 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Diagnosis of heart disease using genetic algorithm based trained recurrent fuzzy neural networks
ترجمه فارسی عنوان
تشخیص بیماری های قلبی با استفاده از الگوریتم ژنتیک شبکه های عصبی مکرر آموزش دیده مبتنی بر فازی
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
چکیده انگلیسی
The World Health Organization (WHO) estimated one third of all global deaths reason as cardiovascular diseases in 2015. Some computational techniques were proposed for investigation of heart diseases. This study proposes a genetic algorithm (GA) based trained recurrent fuzzy neural networks (RFNN) to diagnosis of heart diseases. The University of California Irvine (UCI) Cleveland heart disease dataset is used in this study. Out of total 297 instances of patient data, 252 are used for training and 45 of them are chosen to be the testing. The results showed that 97.78% accuracy was obtained from testing set. In addition to the accuracy, root mean square error, the probability of the misclassification error, specificity, sensitivity, precision and F-score are calculated. The results were found to be satisfying based on comparison.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Procedia Computer Science - Volume 120, 2017, Pages 588-593
نویسندگان
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