| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 388085 | Expert Systems with Applications | 2012 | 7 Pages |
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.
► The study presents a comparative study for the realization of the chest diseases diagnosis. ► The best results were obtained using the artificial immune system. ► The artificial immune system classification accuracy is highly reliable for the chest diseases diagnosis. ► The artificial immune system is useful to help the expert while deciding the healthy and patient subjects.
