Paper Info
Title
An improved approach to medical data sets classification: artificial immune recognition system with fuzzy resource allocation mechanism
Abstract
The artificial immune recognition system (AIRS) has been shown to be an efficient approach to tackling a variety of problems such as machine learning benchmark problems and medical classification problems. In this study, the resource allocation mechanism of AIRS was replaced with a new one based on fuzzy logic. The new system, named Fuzzy-AIRS, was used as a classifier in the classification of three well-known medical data sets, the Wisconsin breast cancer data set (WBCD), the Pima Indians diabetes data set and the ECG arrhythmia data set. The performance of the Fuzzy-AIRS algorithm was tested for classification accuracy, sensitivity and specificity values, confusion matrix, computation time and receiver operating characteristic curves. Also, the AIRS and Fuzzy-AIRS algorithms were compared with respect to the amount of resources required in the execution of the algorithm. The highest classification accuracy obtained from applying the AIRS and Fuzzy-AIRS algorithms using 10-fold cross-validation was, respectively, 98.53% and 99.00% for classification of WBCD; 79.22% and 84.42% for classification of the Pima Indians diabetes data set; and 100% and 92.86% for classification of the ECG arrhythmia data set. Hence, these results show that Fuzzy-AIRS can be used as an effective classifier for medical problems.
Year
DOI
Venue
2007
10.1111/j.1468-0394.2007.00432.x
EXPERT SYSTEMS
Keywords
Field
DocType
fuzzy resource allocation,AIRS,Wisconsion breast cancer data set,Pima Indians diabetes data set,ECG arrhythmia data set,ROC curves,10-fold cross-validation
Medical classification,Data mining,Data set,Receiver operating characteristic,Confusion matrix,Recognition system,Computer science,Fuzzy logic,Resource allocation,Artificial intelligence,Classifier (linguistics),Machine learning
Journal
Volume
Issue
ISSN
24.0
4.0
0266-4720
Citations 
PageRank 
References 
11
0.67
11
Authors
2
Name
Order
Citations
PageRank
Kemal Polat1134897.38
Salih Güneş2126778.53