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

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Title: Medical application of information gain based artificial immune recognition system (AIRS): Diagnosis of thyroid disease
Authors: Kodaz, Halife1 hkodaz@selcuk.edu.tr, Özşen, Seral2 seral@selcuk.edu.tr, Arslan, Ahmet1 aarslan@selcuk.edu.tr, Güneş, Salih2 sgunes@selcuk.edu.tr
Source: Expert Systems with Applications. Mar2009 Part 2, Vol. 36 Issue 2, p3086-3092. 7p.
Subjects: Computer simulation of immune system, Thyroid diseases, Immunocomputers, Diagnosis, Immunology, Expert systems
Abstract: 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. [Copyright &y& Elsevier]
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Database: Engineering Source
Description
Abstract: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. [Copyright &y& Elsevier]
ISSN:09574174
DOI:10.1016/j.eswa.2008.01.026