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.%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。
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