Research And Design Of An Intelligent Medical Decision Support Systems Based On Data Mining

Faced with increasingly strained resources, Intelligent Medical Decision SupportSystems(IMDSS) come into being. IMDSS is a new health information system mixed byhospital HIS platform and decision support systems. The key points of it need realizationof Intelligent Medical Supporting. In this paper, we begin from analysis of the HISplatform decision support system features, discussed the need for data mining technologyinto the already intelligent decision, and build a complete system model, described themain components of the model and its key technologies and programs.Decision-making system base on a medical monitoring HIS website which is nowresearched, the key part-Knowledge Discovery in Database(KDD) use data miningtechnology, including:①The collation of data and preprocessing, that is how we extractsamples from the database with high-speed low consumption, the maximum under thepremise of maintaining the original characteristics of the data, and then eliminate the noiseinside information;②Effective information extraction and KDD. According to the needsof decision-making, these two methods, clustering and association rules are used toextract useful information on the sample inside, build a number of rule table model;③Input and output data framework is designed to accommodate the first two steps of themodel.At last, we integrate these processes, embedded in the HIS website, and evaluatethe accuracy of the system for forecasting and analysis..To archieve purpose, I do thefollowing jobs, system design, algorithm improvements and design, coding write anddebug, single step the efficiency of the algorithm validation and overall systemassessment.Test results show that we reached the expected goal of the demonstration data miningdecision-making system. It can give to diagnosing a patient physical health status and givesimple predictions, and the next course of action proposed. In addition, the key algorithmsin each step are optimal. Decision-making system can effectively reduce the duplication ofthe doctors, improving work efficiency.