Improved MLP-NN based approach for Lung Diseases Classification

The Data Mining is extracting or mining knowledge from large volume of data. Classification technique is used in different-2 application. In this paper proposes a new classifier utilizing MLP approach by grouping based on nearest neighbor i.e. improved MLP-NN. The MLP-NN approach can handle noisy data and reduce complexity. This technique has been applied for medical diagnosis. This paper analyzes the lung images (i.e. CTscan images) for identifying and classifying them among the various lung diseases (i.e. bronchitis, emphysema, pleural effusion or normal) using 100 images data set and 80 images data set. Keyword Data Mining; Classification; Multilayer Perceptron.