Association Rule Data Mining Technology In The Application Of The Medical Service

With the computer science and technology development and wide application, the amount of data generated in meny disciplines were rapidly increasing. In order to find valuable knowledge from the data, data mining methods were been used to solve this problem. The application for association rule mining was an important research topic in the field of data mining. It was important to find out the intrinsic association rules from a large number medical data by use of the association rule mining technology, which could not only provide an effective basis for disease monitoring, evaluation of drug treatments and disease prevention in clinical practice, but also was a new research content. The data mining of medical data was analysed by using of classic Apriori algorithm of association rule mining. In order to find and useful correlation relationship or pattern among the itemsets in huge amounts of data, Apriori algorithm was used to find frequent itemsets of data from the database, and then frequent itemsets generated an strong association rules. The ultimate objective is to research and analyse the application of association rule mining in clinical disease surveillance,evaluation of drug treatments and disease prevention aspects. For example, through association rule mining analysed the data on premarital examination and drug treatment of pneumonia of the children, the reference of thorough examination for premarital examination and the decision making for the treatment of pneumonia of the children could be obtained. Detailed analysis of this thesis in data mining and association rule mining baseing on the characteristics, the classic algorithm, including Apriori association rule mining algorithm were described and analyzed; the characteristics of medical data was analysed, association rules in the application of data related diseases was researched, and the data, which was obtained from premarital examination (HIV, syphilis, hepatitis B, hepatitis E) and pneumonia of the children by using of the Apriori algorithm, was collected for data mining and data analysis. The reference of thorough examination was provided by the association rule mining results from data of premarital examination for marriage license applicants. In clinical practice, the decision-making basis of medication, which was offered by the results of pneumonia of the children association rule mining, could not only provide a rational choice of drugs, a best treatment of pneumonia of the children drug programs and an improvement treatment effect and efficiency in clinical practice, but also could be used as drugs audit basis.It indicated that, the analysis of data mining on preventive health care and drug treatment and other aspects in the health field could be a worthy research direction.