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Under the area of data mining where we have to extract the hidden patterns from huge amount of data. Data mining is very popular tool to transform the data into important information. In this article we mainly focus on management of asthma disease in childhood by considering various age groups and studying best possible treatment using C4.5 algorithm. Facing the huge amounts of data, the classification algorithm puts an efficient, robust technique for studying best possible treatment for the disease like asthma. In this session we are following three major steps preprocessing, classification and results in the form of decision tree. At the end, results were gathered through a decision tree if dependent variable is satisfying the given conditions.