A bi-objective hybrid optimization algorithm to reduce noise and data dimension in diabetes diagnosis using support vector machines

2019 ◽  
Vol 127 ◽  
pp. 47-57 ◽  
Author(s):  
Mahsa Alirezaei ◽  
Seyed Taghi Akhavan Niaki ◽  
Seyed Armin Akhavan Niaki
Keyword(s):  
Support Vector Machines ◽  
Optimization Algorithm ◽  
Hybrid Optimization ◽  
Support Vector ◽  
Diabetes Diagnosis ◽  
Hybrid Optimization Algorithm ◽  
Vector Machines

Diabetes Diagnosis System Based on Support Vector Machines Trained by Vortex Optimization Algorithm

2018 ◽  
pp. 203-218 ◽  
Author(s):  
Sadi Fuat Cankaya ◽  
Ibrahim Arda Cankaya ◽  
Tuncay Yigit ◽  
Arif Koyun
Keyword(s):  
Artificial Intelligence ◽  
Decision Making ◽  
Support Vector Machines ◽  
Optimization Algorithm ◽  
Intelligent Systems ◽  
Support Vector ◽  
Diabetes Diagnosis ◽  
Diagnosis System ◽  
Vector Machines ◽  
Expert Support

Artificial intelligence is widely enrolled in different types of real-world problems. In this context, developing diagnosis-based systems is one of the most popular research interests. Considering medical service purposes, using such systems has enabled doctors and other individuals taking roles in medical services to take instant, efficient expert support from computers. One cannot deny that intelligent systems are able to make diagnosis over any type of disease. That just depends on decision-making infrastructure of the formed intelligent diagnosis system. In the context of the explanations, this chapter introduces a diagnosis system formed by support vector machines (SVM) trained by vortex optimization algorithm (VOA). As a continuation of previously done works, the research considered here aims to diagnose diabetes. The chapter briefly gives information about details of the system and findings reached after using the developed system.

scholarly journals Diabetes Diagnosis using Feature Weighted Support Vector Machines and Modified Cuckoo Search

2012 ◽  
Vol 58 (17) ◽  
pp. 1-7 ◽  
Author(s):  
Davar Giveki ◽  
Seyed Mohammadreza Ebrahimipour ◽  
Mohammad Ali Soltanshahi ◽  
Younes Khademian
Keyword(s):  
Support Vector Machines ◽  
Cuckoo Search ◽  
Support Vector ◽  
Diabetes Diagnosis ◽  
Vector Machines
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