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作 者:方锐[1,2] 苏锦河 胡镜清[4] 葛金文[2] 许伟明[4] FANG Rui;SU Jin-he;HU Jing-qing;GE Jin-wen;Xu Wei-ming(School of Medicine,Hangzhou Normal U-niversity,Hangzhou(310018;The Key Laboratory of Hunan Province for Integrated Chinese and Western Medicine on Prevention and Treatment of Cardio-Cerebral Diseases,Hunan University of Chi-nese Medicine,Changsha(410208;School of Economics,Renmin University of China,Beijing(100872;Institute of Basic Theory for Chinese Medicine,China Academy of Chinese Medical Sci-ences,Beijing(100700)
机构地区:[1]杭州师范大学医学院,杭州310018 [2]湖南中医药大学中西医结合防治心脑疾病湖南省重点实验室,长沙410208 [3]中国人民大学经济学院,北京100872 [4]中国中医科学院中医基础理论研究所,北京100700
出 处:《中国中西医结合杂志》2018年第9期1130-1136,共7页Chinese Journal of Integrated Traditional and Western Medicine
基 金:国家重点基础研究发展计划(973计划)(No.2014CB542903);湖南省重点研发计划项目(No.2017SK2111);浙江省中医药科技计划项目(No.2018ZB095);国家中医药管理局中医药行业科研专项(No.201307003);科技部国家"十二五"支撑计划项目(No.2012BAI25B00)
摘 要:数据包络分析(data envelopment analysis,DEA)作为一个运筹学方法,是解决具有多个投入、多个产出的同种类型部门或单位(决策单元,DMUs)的相对有效性评价和决策问题的有力工具。本文介绍了DEA方法的基本原理、常用模型及经济学价值等相关理论知识,并综述了近年DEA在卫生经济学评价、疾病风险预警、临床疗效评价与治疗方案决策及中医证候量化辨证分型等医学研究建模中的应用,同时对不同的拓展DEA模型在中医证候诊断及其复杂干预效果评价等科学问题中的运用进行了探索性分析。As a method of operational research, the data envelopment analysis (DEA) is a useful tool to deal with relative efficiency evaluation and decision-making of multiple inputs and outputs in the same type of departments or units. In this paper, we introduce the relevant theoretical knowledge about basic principle, common models, economic values of DEA, we also summarize the application of DEA to medical modeling research in health economics evaluation, precautionary of disease risk, clinical effica- cy evaluation, treatments decision-making, syndrome quantification, differentiation and classification of Chinese medicine (CM) over recent years, and then some exploratory analyses are given on how to fur- ther use of different extended DEA models in scientific studies of CM syndrome diagnosis and therapeutic evaluation of complex intervention.
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