Application Of Data Mining Technique To Analysis Of Flow Volume Of Patients

With the computer and the communication development, the majority hospital has all established the information management system, and has realized the medical record, the medical data electronic memory. Then we obtain magnanimous and real medical record medical service data. These data is containing the rich extremely valuable information and the experience. How analyzes from these massive intriguing data and obtains a more effective knowledge and the data for the decision-making, is a question which each modern hospital policy-maker must have to consider.At present, the hospital mostly uses traditional statistical method to the historical data application, but facing the new application demand, the statistical method also exposed its limitation. Although has collected the massive services data, but it is truly difficult to obtain the useful information for policy-making, finally formed "the data to explode, the information lacked", for solving this problem, the data mining technology arose at the historic moment.The paper has carried on the discussion to the application of Data Mining technique to analysis of flow volume of patients. First, introduced the background and significance of this topic; Next, elaborated the data mining technology concept, the data mining technology classification, the realize process and the application research status, and emphatically introduced the differences of the data mining technology and other related technical; Third, briefly introduced the knowledge and particularity of Application of Data Mining technique to analysis of flow volume of patients; Finally, has produced the example of the data mining technology in patient flow analysis application, and introduced the entire process of this example. Includes: The demand analysis, the outline design, the pretreatment to the medical record and diagnoses data from a three level of first-class hospital during 2003-2004, and proposed the system structural model. Then carried on the pattern mining for the patient flow and its influence factor and obtained some useful rules and the pattern, and proposed several pointed suggestion according to these rules and pattern.