Polar Grey Relational Analysis and Its Application in Clinical Trial
Objective Using grey relational analysis (GRA) to analyze the grey relation between the cardiovascular medicine and fatality rate in hospitalized patients with acute coronary heart disease events in Beijing. Methods Cited a few valid data from the published results of the study “the fatality trends of acute coronary heart disease events in Beijing, which was a part of the National Key 75’ Project, shared with WHO MONICA Project. GRA with order test of these data was performed. Results Positive grey relation was found between cardiovascular fatality rate and medicine including non-beta adrenoceptor blocker antiarrhythmics (NBAA), positive inotropic drugs (PID), calcium channel blockers (CCB). Negative grey relation between cardiovascular fatality rate and medicine including nitroglycerin (NG), antiplatelet agents (APT), beta-adrenoceptor blockers (BB) and ACEI was revealed. Grey relation between fatality rate and anticoagulants or thrombolytics was very weak. Conclusions Cardiovascular fatality rate can be increased by CCB and NBAA, and decreased by NG, APT, BB and ACEI. GRA with order test is a more effective method in trial data.
Tan Xuerui Deng Julong Liu Sifeng Pan Hongxing Chen Xiaojun
First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong 515041, P.R. Chi Department of automatic control at Huazhong University of Science and Technology, Wuhan, Hubei 43007 College of Economics and Management, Nanjing University of Aeronautics and Astronautics, Nanjing, 21
国际会议
2007年IEEE灰色系统与智能服务国际会议(2007 IEEE International Conference on Grey Systems and Intelligent Services)
南京
英文
2007-11-18（万方平台首次上网日期，不代表论文的发表时间）