Medical application of information gain based artificial immune recognition system (AIRS): Diagnosis of thyroid disease

Authors:
Halife Kodaz;Seral Özşen;Ahmet Arslan;Salih Güneş
Affiliations:
Selcuk University, Department of Computer Engineering, 42075 Konya, Turkey;Selcuk University, Department of Electrical and Electronics Engineering, 42075 Konya, Turkey;Selcuk University, Department of Computer Engineering, 42075 Konya, Turkey;Selcuk University, Department of Electrical and Electronics Engineering, 42075 Konya, Turkey
Venue:
Expert Systems with Applications: An International Journal
Year:
2009

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Abstract

In this paper, we have made medical application of a new artificial immune system named the information gain based artificial immune recognition system (IG-AIRS) which minimizes the negative effects of taking into account all attributes in calculating Euclidean distance in shape-space representation which is used in many artificial immune systems. For medical data, thyroid disease data set was applied in the performance analysis of our proposed system. Our proposed system reached 95.90% classification accuracy with 10-fold CV method. This result ensured that IG-AIRS would be helpful in diagnosing thyroid function based on laboratory tests, and would open the way to various ill diagnoses support by using the recent clinical examination data, and we are actually in progress.