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Proposed an Intelligent System for Diabet Diagnosis Based on Combined Intelligent Algorithm
ISSN: en
Publisher: author
Proposed an Intelligent System for Diabet Diagnosis Based on Combined Intelligent Algorithm
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Abstract
Diabet Diagnosis is a very problematic issue in medical diagnosis. Diabetes is a dangerous and complex disease with different characteristics. Therefore, so much effort has been put into developing various methods and final diagnosis. So trying to use many different methods and final diagnosis has been developed. Nowadays, many clinical trials, which are relatively complex, are carried out. Early diagnoses of diabetes dramatically reduce injuries and damage caused by the infection in community. Perhaps the most important methods of diagnosis are perfomed, in early stages of the disease. In this study, a method for correct proper diagnosis based on the optimal features of the disease was introduced. By Using a combined artificial intelligence methods, including search algorithms (PSO1) to explore or search and select the best features, Data mining methods (SVM2) got to classify and categorize data (patient characteristics led to the di...
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International Category Code (ICC):
ICC-0202
Mohammad Fiuzy, Javad Haddadnia, Nasrin Mollania
International Article Address (IAA):
IAA.ZONE/en8316en
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