Title of article :
Diagnosis of chest diseases using artificial immune system
Author/Authors :
Er، نويسنده , , Orhan and Yumusak، نويسنده , , Nejat and Temurtas، نويسنده , , Feyzullah، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2012
Pages :
7
From page :
1862
To page :
1868
Abstract :
Chest diseases are one of the greatest health problems for people living in the developing world. Millions of people are diagnosed every year with a chest disease in the world. Chronic obstructive pulmonary, pneumonia, asthma, tuberculosis, lung cancer diseases are most important chest diseases and these are very common illnesses in Turkey. In this paper, a study on chest diseases diagnosis was realized by using artificial immune system. We obtained the classification accuracy with artificial immune system 93.84%. The result of the study was compared with the results of the previous similar studies reported focusing on chest diseases diagnosis. The chest diseases dataset were prepared from a chest diseases hospital’s database using patient’s epicrisis reports.
Keywords :
Chest disease diagnosis , artificial immune system
Journal title :
Expert Systems with Applications
Serial Year :
2012
Journal title :
Expert Systems with Applications
Record number :
2351066
Link To Document :
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