Disease pattern analysis using electronic discharge summary of EMR in HL7 for computerized treatment plan of cancer patients in Korea

Abstract

This paper proposes an efficient recommending method for computerized treatment plan of cancer patients in Korea using electronic discharge summary of EMR in HL7. In this paper, it is necessary for us to classify disease patterns in the medical historical record to join the electronic discharge summaries data in EMR to analyze the disease pattern with input vectors of different features, disease code, to build the medical treatment plan of cancer patients in Korea using recommending service in medical data sets, to reduce inpatients’ search effort to get the information of curing procedure, the diagnosis for recovering their health and to improve the rate of accuracy of recommending service. To verify improved performance, we make experiments with dataset collected in medical center.