CHRONIC OBSTRUCTIVE PULMONARY DISEASE DIAGNOSIS USING RADIAL BASED FUNCTION NEURAL NETWORK

Millions of people are diagnosed every year with a chest disease in the world. Chronic obstructive pulmonary disease is one of the most important chest diseases. In this study, an application on chronic obstructive pulmonary disease diagnosis was realized by using artificial neural network. Used neural network structure in this study was radial based function neural network. The chronic obstructive pulmonary disease dataset were taken from a state hospital’s database using patient’s epicrisis reports.