利用文本挖掘技术探索复方丹参注射液应用规律

目的:利用文本挖掘技术探索复方丹参注射液临床应用规律。方法:在中国生物医学文献服务系统中收集复方丹参注射液文献数据,采用基于敏感关键词频数统计的数据分层算法,挖掘复方丹参注射液相关中医证候、疾病、症状、中医治法、针灸穴位、西药等规律。这些规律通过一维频次表及二维网络图进行展示。结果:中医证候方面,以瘀、虚因素为主;脑梗死、心绞痛、糖尿病并发症、心力衰竭、肝硬化、病毒性心肌炎等疾病为其主要治疗疾病;胸闷、头晕、头痛、溃疡、腹痛为其主要治疗症状;中医治法以活血化瘀为主;相关针灸穴位主要有球后、足三里、风池、肾俞等;常与低分子右旋糖酐、胞二磷胆碱、阿司匹林、维生素B簇等西药联用。结论:文本挖掘能够比较客观的总结中西医用药规律,为临床应用提供有益的探索和参考。

Application Regularity of Compound Salvia Miltiorrhiza Injection with Text Mining Technique

Objective: To explore the application regularity of compound Salvia Miltiorrhiza (SM) injection. Method: The data set on compound SM injection was downloaded from Chinese BioMedical literature database. The regularities of syndrome, diseases, symptoms, traditional Chinese medicine (TCM) treatment method, acupuncture point and western medicines on compound SM injection were mined out by data slicing algorithm. The results are demonstrated with tables and networks. Result: TCM syndrome of compound SM injection was mainly correlated with blood stasis and deficiency. The diseases such as cerebral infarction, angina pectoris, diabetic complications, heart failure, liver cirrhosis and viral myocarditis were often treated with compound SM injection. The symptoms such as chest distress, dizziness, headache, ulcer and abdominal pain were frequently reported. Activating blood and resolving stasis were main Chinese medicinal therapy of compound SM injection. Acupuncture points such as retrobulbar, Zusanli, Fengchi and Shenshu were commonly related with compound SM injection. For western medicines, it was usually used together with low molecular dextran, citicoline, aspirin and vitamin B group. Conclusion: Text mining approach provides a novel method in the summary of application regularity in both TCM and western medicine.