Diagnosis of chest diseases using artificial immune system

Authors:
Orhan Er;Nejat Yumusak;Feyzullah Temurtas
Affiliations:
Bozok University, Department of Electrical and Electronics Engineering, 66200 Yozgat, Turkey;Sakarya University, Department of Computer Engineering, 54187 Adapazari, Turkey;Bozok University, Department of Electrical and Electronics Engineering, 66200 Yozgat, Turkey
Venue:
Expert Systems with Applications: An International Journal
Year:
2012

Citing 11
Cited 0

Searching for Memory in Artificial Immune System

Proceedings of the IIS'2002 Symposium on Intelligent Information Systems
A Study on Chronic Obstructive Pulmonary Disease Diagnosis Using Multilayer Neural Networks

Journal of Medical Systems
A comparative study on thyroid disease diagnosis using neural networks

Expert Systems with Applications: An International Journal
A Comparative Study on Chronic Obstructive Pulmonary and Pneumonia Diseases Diagnosis using Neural Networks and Artificial Immune System

Journal of Medical Systems
A new classification method for breast cancer diagnosis: feature selection artificial immune recognition system (FS-AIRS)

ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part II
Inspiration for the next generation of artificial immune systems

ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
The medical applications of attribute weighted artificial immune system (AWAIS): diagnosis of heart and diabetes diseases

ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
Designing ensembles of fuzzy classification systems: an immune-inspired approach

ICARIS'05 Proceedings of the 4th international conference on Artificial Immune Systems
Advances in artificial immune systems

IEEE Computational Intelligence Magazine
Learning and optimization using the clonal selection principle

IEEE Transactions on Evolutionary Computation
Use of genetic algorithms for neural networks to predict community-acquired pneumonia

Artificial Intelligence in Medicine

Quantified Score

Hi-index	12.05

Visualization

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.