• 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