贝叶斯网络在中医诊断中的应用研究
|
摘要
数据挖掘技术是分析复杂医疗病例的重要手段,但如何选择合适的指标将中医临床经验科学化以提高医生的诊断和治疗水平、并对其进行有效监控是中医急需解决的问题.针对这个问题,提出一种医疗指标约简的方法——基于聚类的贝叶斯网络模型,通过分类及进行主特征和类特征的提取来研究中医症候分型、动态演变,为类风湿关节炎病因、病机的研究及临床医生诊断质量控制提供了重要依据.
Data mining technology is an important method to analyze the medical cases.It is important to choose the appropriate indices to make the Chinese medicine more scientific and to improve the diagnosis level by supervising the quality more effectively.This paper brings forward a new medical indices reduction method- the Bayesian network based on clustering to solve this problem.This paper studies TCM syndrome type and dynamic evolution by classifying the data to pick-up the main characters and species characters.It provides the important evidence to RA pathogens and sickness mechanism research,and it also plays an important role in supervising diagnosis quality of the clinician.
Data mining technology is an important method to analyze the medical cases.It is important to choose the appropriate indices to make the Chinese medicine more scientific and to improve the diagnosis level by supervising the quality more effectively.This paper brings forward a new medical indices reduction method- the Bayesian network based on clustering to solve this problem.This paper studies TCM syndrome type and dynamic evolution by classifying the data to pick-up the main characters and species characters.It provides the important evidence to RA pathogens and sickness mechanism research,and it also plays an important role in supervising diagnosis quality of the clinician.
引文
[1] 由松,胡立胜.中医症状及证候的量化方法探讨[J].北京中医药大学学报,2002,25(2) :13-15． You Song,Hu Li-sheng.Study on the methodology of the quantification of TCM symptoms and syndromes [J].Journal of Beijing University of Traditional Chinese Medicine,2002,25 (2) :13-15． (in Chinese)
[2] 吴美琴,范建平,梁嘉华,等.医疗质量考核的新思想[J].中华医学科研管理杂志,2006,(6) :217-220． Wu Mei-qin,Fan Jian-ping,Liang Jia-hua,et al.The new idea of the medical quality supervisor and assess [J].Chinese Journal of Medical Science Research Management,2006,(6) :217-220． (in Chinese)
[3] 梁嘉华,范建平,曹暄伟,等.管理信息与管理信息系统[M].太原:山西科学技术出版社,2001． Liang Jia-hua,Fan Jian-ping,Cao Xuan-wei,et al.Management Information & Management Information System [M].Taiyuan:Shanxi Science and Technology Publishing House,2001． (in Chinese)
[4] 赵卫东,李旗号,盛昭瀚.基于案例推理的决策问题求解[J].管理科学学报,2000,3(4) :29-36． Zhao Wei-dong,Li Qi-hao,Sheng Shao-han.Decision problem solution based on case-based reasoning[J].Journal of Management Sciences in China,2000,3 (4) :29-36． (in Chinese)
[5] 于景元,周晓纪.从定性到定量综合集成方法的实现和应用[J].系统工程理论与实践,2002,22(10) :26-32． Yu Jing-yuan,Zhou Xiao-ji.The realization and application of meta-synthesis [J].Systems Engineering-Theory & Practice,2002,22(10) :26-32． (in Chinese)
[6] 程岩,卢涛,黄梯云.在数据库中挖掘定量关联规则的方法研究[J].管理科学学报,2001,4(4) :41-48． Cheng yan,Lu Tao,Huang Ti-yun.Research on methods of mining quantitative association rules in database[J].Journal of Management Sciences in China,2001,4(4) :41-48． (in Chinese)
[7] 诸克军,成金华,郭海湘.模糊软分类中最佳聚类数的确定[J].管理科学学报,2005,8(3) :8-14． Zhu Ke-jun,Cheng Jin-hua,Guo Hai-xiang.Optimal number of clusters in fuzzy soft clustering[J].Journal of Management Sciences in China,2005,8(3) :8-14． (in Chinese)
[8] Hand D,Mannila H,Smyth P.Principles of Data Mining[M].Cambridge:Massachusetts Institute of Technology,2001．
[9] 初颖,刘鲁,张巍.基于聚类挖掘的供应链绩效评价的标杆选择法[J].管理科学学报,2004,6(5) :49-53． Chu Ying,Liu Lu,Zhang Wei.Benchmark selection for supply chain assessment based on clustering mining technology [J].Journal of Management Sciences in China,2004,6(5) :49-53． (in Chinese)
[10] 王碧泉,陈祖荫.模式识别:理论、方法和应用[M].北京:地震出版社,1989． Wang Bi-quan,Chen Zu-yin.Pattern Recognition:Theory,Method and Application [M].Beijing:Earthquake Press,1989． (in Chinese)
[11] 王学伟,瞿海斌,王阶.一种基于数据挖掘的中医定量诊断方法[J].北京中医药大学学报,2005,28(1) :4-7． Wang Xue-wei,Qu Hai-bing,Wang Jie.A quantitative diagnostic method based on data-mining approach in TCM [J].Journal of Beijing University of Traditional Chinese Medicine,2005,28(1) :4-7． (in Chinese)
[12] Han J,Kamber M.Data Mining:Concepts & Techniques[M].San Francisco:Morgan Kaufmann Publishers,2001．
[2] 吴美琴,范建平,梁嘉华,等.医疗质量考核的新思想[J].中华医学科研管理杂志,2006,(6) :217-220． Wu Mei-qin,Fan Jian-ping,Liang Jia-hua,et al.The new idea of the medical quality supervisor and assess [J].Chinese Journal of Medical Science Research Management,2006,(6) :217-220． (in Chinese)
[3] 梁嘉华,范建平,曹暄伟,等.管理信息与管理信息系统[M].太原:山西科学技术出版社,2001． Liang Jia-hua,Fan Jian-ping,Cao Xuan-wei,et al.Management Information & Management Information System [M].Taiyuan:Shanxi Science and Technology Publishing House,2001． (in Chinese)
[4] 赵卫东,李旗号,盛昭瀚.基于案例推理的决策问题求解[J].管理科学学报,2000,3(4) :29-36． Zhao Wei-dong,Li Qi-hao,Sheng Shao-han.Decision problem solution based on case-based reasoning[J].Journal of Management Sciences in China,2000,3 (4) :29-36． (in Chinese)
[5] 于景元,周晓纪.从定性到定量综合集成方法的实现和应用[J].系统工程理论与实践,2002,22(10) :26-32． Yu Jing-yuan,Zhou Xiao-ji.The realization and application of meta-synthesis [J].Systems Engineering-Theory & Practice,2002,22(10) :26-32． (in Chinese)
[6] 程岩,卢涛,黄梯云.在数据库中挖掘定量关联规则的方法研究[J].管理科学学报,2001,4(4) :41-48． Cheng yan,Lu Tao,Huang Ti-yun.Research on methods of mining quantitative association rules in database[J].Journal of Management Sciences in China,2001,4(4) :41-48． (in Chinese)
[7] 诸克军,成金华,郭海湘.模糊软分类中最佳聚类数的确定[J].管理科学学报,2005,8(3) :8-14． Zhu Ke-jun,Cheng Jin-hua,Guo Hai-xiang.Optimal number of clusters in fuzzy soft clustering[J].Journal of Management Sciences in China,2005,8(3) :8-14． (in Chinese)
[8] Hand D,Mannila H,Smyth P.Principles of Data Mining[M].Cambridge:Massachusetts Institute of Technology,2001．
[9] 初颖,刘鲁,张巍.基于聚类挖掘的供应链绩效评价的标杆选择法[J].管理科学学报,2004,6(5) :49-53． Chu Ying,Liu Lu,Zhang Wei.Benchmark selection for supply chain assessment based on clustering mining technology [J].Journal of Management Sciences in China,2004,6(5) :49-53． (in Chinese)
[10] 王碧泉,陈祖荫.模式识别:理论、方法和应用[M].北京:地震出版社,1989． Wang Bi-quan,Chen Zu-yin.Pattern Recognition:Theory,Method and Application [M].Beijing:Earthquake Press,1989． (in Chinese)
[11] 王学伟,瞿海斌,王阶.一种基于数据挖掘的中医定量诊断方法[J].北京中医药大学学报,2005,28(1) :4-7． Wang Xue-wei,Qu Hai-bing,Wang Jie.A quantitative diagnostic method based on data-mining approach in TCM [J].Journal of Beijing University of Traditional Chinese Medicine,2005,28(1) :4-7． (in Chinese)
[12] Han J,Kamber M.Data Mining:Concepts & Techniques[M].San Francisco:Morgan Kaufmann Publishers,2001．
版权所有：© 2023 中国地质图书馆 中国地质调查局地学文献中心