Chest diseases diagnosis using artificial neural networks

Authors:
Orhan Er;Nejat Yumusak;Feyzullah Temurtas
Affiliations:
Bozok University, Department of Electrical and Electronics Engineering, 66200 Yozgat, Turkey and Sakarya University, Department of Electrical and Electronics Engineering, 54187 Adapazari, 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:
2010

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Abstract

Chronic obstructive pulmonary, pneumonia, asthma, tuberculosis, lung cancer diseases are the most important chest diseases. These chest diseases are important health problems in the world. In this study, a comparative chest diseases diagnosis was realized by using multilayer, probabilistic, learning vector quantization, and generalized regression neural networks. The chest diseases dataset were prepared by using patient's epicrisis reports from a chest diseases hospital's database.