The Application Research Of Association Rule Mining In Medical Records Data Analysis

As the rapid development of database technology and the ever-growing popularity of the hospital information system in large and medium-sized hospitals, how to conduct data mining analysis to more and more medical data accumulated by the hospital information system and to extract out a wealth of useful knowledge from clinical data hidden have become the focus of attention.This paper takes how to carry out analysis and extraction to the actual medical record data as paramount and chooses data warehouse, OLAP and data mining for the three core components of data analysis for applied research.Firstly,Based on a comprehensive elaboration of the related theoretical basis on case data and the specific circumstances of hospital medical record information ,we designed and realized the patient's medical record data warehouse which patients as the subject field.Secondly,we created a multidimensional cube of cases data and completed the operation of OLAP and data show by using data pivot table and MDX.Thirdly,this paper elaborated association rules mining in a detail way,according to multi-level and multi-dimensional characteristics of medical record data , we built and realized a structure of association rules mining based on the multi-dimensional cube of Medical Records data. Finally, the experiment on mining association rules of Medical Records data is taken, and adopted by the Mining Association Rules to the summary and analysis to identify the hidden knowledge in the cases of the disease among the various interrelated, and the patient's occupation, age and sex characteristics the impact of the disease on patients, it can help doctors in the diagnosis and treatment of diseases.