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Apriori algorithm has been successfully used for finding the frequent item sets in retail data. This research is about finding associations between diagnosis and treatments. It has shown that the algorithm is equally beneficent for finding the large item sets and thus generating the association rules in medical billing data. Resemblance between medical bill and purchase bill is the motivation of using Apriori algorithm in this research work. Healthcare is a data rich domain. Medical practices, insurance companies and other health related organizations have collected huge volumes of data, thus attracting data mining researchers to explore it and find something beneficent from it.