Diseases Association Discovery Based on XML EMR

First, the meaning of data mining from EMR with a view to discover valuable knowledge, as well as current problems is introduced. Then, several possible storage methods for EMR are deeply analyzed and studied. On this basis, the solution of storage XML EMR with DB2/9.5 hybrid database is presented. The XQ-Apriori algorithm based on classic Apriori algorithm and XML query language XQuery, as well as an application case for association rules mining directly from XML EMR and other kinds of XML documents is introduced in detail. It is proved the association between diseases can be discovered in effect by using this algorithm. Finally, the application circs and the application scope of the algorithm are summarized and illuminated, and further developed research work by author are recommended.