中国中医药信息杂志
中國中醫藥信息雜誌
중국중의약신식잡지
CHINESE JOURNAL OF INFORMATION ON TRADITIONAL CHINESE MEDICINE
2014年
7期
18-21
,共4页
藏象本质%神经内分泌免疫网络%数据挖掘%关联规则分析
藏象本質%神經內分泌免疫網絡%數據挖掘%關聯規則分析
장상본질%신경내분비면역망락%수거알굴%관련규칙분석
essence of the viscera-state%neuro-endocrine-immune network%data mining%association analysis
目的：探讨神经内分泌免疫(NEI)网络与藏象的内在联系。方法以中国学术期刊网络出版总库中的中医学、中药学、中西医结合3个专题数据库为主要来源，检索以NEI网络相关指标为主要方法研究藏象本质的期刊文献，建立相关数据库。采用数据挖掘方法，对病位、证型、治则治法、病证结合与NEI网络指标进行关联规则分析，得到关联规则，绘制关联定向网络图。结果绘制高频病位、证型、治则治法、病证结合与NEI指标关联定向网络图44幅，得到19条关联规则。肾与肝本质研究侧重下丘脑-垂体-性腺轴、下丘脑-垂体-肾上腺轴、下丘脑-垂体-甲状腺轴，脾本质研究侧重脑肠肽相关指标，心本质研究侧重血管内皮功能相关指标，肺本质研究重点集中在体液免疫、内皮素及肿瘤坏死因子-α。结论应用数据挖掘方法探讨NEI网络与藏象的内在联系是可行的，发现了不同藏象系统间NEI网络研究的差异性，对藏象本质研究具有重要意义。
目的：探討神經內分泌免疫(NEI)網絡與藏象的內在聯繫。方法以中國學術期刊網絡齣版總庫中的中醫學、中藥學、中西醫結閤3箇專題數據庫為主要來源，檢索以NEI網絡相關指標為主要方法研究藏象本質的期刊文獻，建立相關數據庫。採用數據挖掘方法，對病位、證型、治則治法、病證結閤與NEI網絡指標進行關聯規則分析，得到關聯規則，繪製關聯定嚮網絡圖。結果繪製高頻病位、證型、治則治法、病證結閤與NEI指標關聯定嚮網絡圖44幅，得到19條關聯規則。腎與肝本質研究側重下丘腦-垂體-性腺軸、下丘腦-垂體-腎上腺軸、下丘腦-垂體-甲狀腺軸，脾本質研究側重腦腸肽相關指標，心本質研究側重血管內皮功能相關指標，肺本質研究重點集中在體液免疫、內皮素及腫瘤壞死因子-α。結論應用數據挖掘方法探討NEI網絡與藏象的內在聯繫是可行的，髮現瞭不同藏象繫統間NEI網絡研究的差異性，對藏象本質研究具有重要意義。
목적：탐토신경내분비면역(NEI)망락여장상적내재련계。방법이중국학술기간망락출판총고중적중의학、중약학、중서의결합3개전제수거고위주요래원，검색이NEI망락상관지표위주요방법연구장상본질적기간문헌，건립상관수거고。채용수거알굴방법，대병위、증형、치칙치법、병증결합여NEI망락지표진행관련규칙분석，득도관련규칙，회제관련정향망락도。결과회제고빈병위、증형、치칙치법、병증결합여NEI지표관련정향망락도44폭，득도19조관련규칙。신여간본질연구측중하구뇌-수체-성선축、하구뇌-수체-신상선축、하구뇌-수체-갑상선축，비본질연구측중뇌장태상관지표，심본질연구측중혈관내피공능상관지표，폐본질연구중점집중재체액면역、내피소급종류배사인자-α。결론응용수거알굴방법탐토NEI망락여장상적내재련계시가행적，발현료불동장상계통간NEI망락연구적차이성，대장상본질연구구유중요의의。
Objective To explore the intrinsic link between neuro-endocrine-immune (NEI) network and the viscera-state.Methods Using three databases namely TCM database, Chinese pharmacy database and combination of TCM and WM database in China Academic Journals Database, the authors searched and collected NEI-related indicators published on journals for the viscera-state researches. Then a related database was established for data mining. Through analysis of association rules, analysis of the relationship among diseases, syndromes, therapeutic principles, combination of disease and syndrome, and NEI network related indicators were performed for association rules and directional network diagrams.Results Through the association analysis, the authors drew 44 directional network diagrams of high-frequency disease positions, syndromes, therapeutic principles and NEI network related indicators, and obtained 19 association rules. Kidney and liver essence research focused on HPG axis, HPA axis, and HPT axis. Spleen essence research focused on brain-gut peptide related indicators. Heart essence research focused on vascular endothelium function indicators. Pulmonary essence research focused on humeral immunity, ET and TNF-α.Conclusion It was feasible to explore the intrinsic link between NEI network and the viscera-state by using data mining. Differences among study on NEI network of five-organs systems were found, which is of great significance for researches on the essence of the viscera-state.
