The architecture of cancer diagnostic decision support systems based on genetic algorithm and artificial neural networks

Health care classification is a crucial and essential task nowadays for medical diagnosis. Data mining techniques provide facility to design and develop predictive model for health care classification. There are different data mining techniques that can be used for the prediction of cancer. Accurate diagnosis and classification is the key issue for the optimal treatment of cancer patients. Several studies demonstrate that cancer classification can be estimated with high accuracy, sensitivity and specificity using artificial neural networks. In this paper, the architecture of system for diagnosing cancer diseases including artificial neural network that uses genetic algorithm in feature selection steps will be described

Keywords:

artificial neural network , genetic algorithm , feature selection , data mining techniques , diagnosis