Medical science is an important part segment of our day to day life. It generates medical report and other statistics in the form of multimedia format. The analysis and prediction of related disease can be done using the data analysis. Every prediction and analysis required image processing and its feature extraction. Processing a data with multiple feature aspect is still a challenging issue. Lung is the parts which carry multiple diseases as it’s a major body cycle process. Further which a proper classification and prediction is problem formulation with several research algorithm. Network based processing of data make use of its phases and help out to find more feature analysis and further detailed classification. In this paper an advance algorithm with semantic and ANN model is proposed for the lung cancer disease prediction from its image format. The analysis is compared with traditional SVM approach and proposed Semantic ANN approach. Implementation is performed using the images collected from web medical resources using MATLAB platform. The computed result shows the efficiency of proposed network layer based semantic solution for the lung cancer prediction and its feature analysis.

Machine Learning Algorithm; Artificial Neural networks; MATLAB; Data Sets; Genetic Algorithm

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