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Information Mining and Visualization Analysis of Long-term Medical Service in Department of Hepatobiliary Spleen and Stomach Diseases

Through the research on the nursing service of patients with liver, gallbladder, spleen and stomach, and the statistics and mining of long-term nursing data, this paper demonstrates that informatization has brought positive effects to the development of long-term nursing. Firstly, the data is collected and clear according to the actual application requirements, and a data warehouse which is suitable for hospital information system is established. Then, the Apriori algorithm of association rules in data mining is analyzed and optimized. The training data is continuously obtained to improve the accuracy of data mining and knowledge discovery mode and improve its credibility. Finally, the improved algorithm is applied to the data and mining work in the field of long-term care. Therefore, the research on data mining and data warehouse management shows a wide application prospect.