An algorithm of apriori based on medical big data and cloud computing

With the enormous development in the field of medical industry, the value of medical data is highlighted increasingly. The concept of medical big data has become the study target of experts and scholars at the same time. This paper researches the association rules algorithm in existing medical data mining technology, and improves the Apriori algorithm by introducing of interest degree threshold. Based on the Hadoop platform and cloud computing technology, this paper proposes a new association rule algorithm of medical data mining, combined with the MapReduce, interest measure, confidence coefficient, and support degree. At the end of this paper, a simulation experiment is carried out based on Hadoop platform, which proves the superiority of the improved algorithm.