Study on Data Mining of Cough Medical Records Treated by Xin'an Doctors Based on Syndrome-drugs / 中国中医药信息杂志

Objective To study the syndrome-drug association rule and the medication law of cough medical cases treated by Xin'an doctors using the data mining method;To provide reference for the treatment of cough.Methods The medical records of Xin'an doctors were collected and summarized.The frequency analysis,topology analysis and Louvain clustering analysis were used to conduct data mining research on syndrome types and prescriptions,and the relationship between syndrome types and prescriptions in cough treatment medical records and the law of drug composition in prescriptions were discussed.Results A total of 525 medical cases were included,and 26 kinds of syndromes were obtained,such as wind-heat invading lung,phlegm-dampness holding lung,lung qi deficiency.There were 243 kinds of Chinese materia medica involved,and 18 kinds of Chinese materia medica were with more than 70 times in frequency.The main properties were cold,warm and mild,and the main tastes were sweet,bitter and pungent,mainly in lung meridian,or the main properties were mild and warm and the main taste was sweet,mainly in spleen and stomach meridian.There were 25 categories in efficacy,which were mainly tonics and heat-clearing medicine.30 core medicines and core medicinal networks were obtained,such as Glycyrrhizae Radix et Rhizoma,Poria and Armeniacae Semen Amarum.The core drug combination of main syndromes of exogenous cough and excess syndrome and deficient syndrome of endogenous cough were obtained by syndrome-drug clustering analysis.Conclusion Xin'an doctors have distinctive characteristics in the diagnosis and treatment of cough diseases,and pay attention to the use of the methods of"strengthening the basic and promoting original qi","nourishing yin and protecting yin","cultivating the soil and promoting gold"and the inheritance of the prescriptions on the basis of cough relieving,phlegm resolving,and syndrome-based treatment.

Research on core Chinese materia medica and herb compatibility in syndrome differentiation and treatment of insomnia based on CNM-centrality algorithm / 中草药

Using node centrality evaluation algorithms and clustering algorithms in complex networks, this paper selects insomnia as study object, and explores the core Chinese materia medica (CMM) and CMM compatibility regularity of syndrome differentiation and treatment. Firstly, we construct the CMM network model of insomnia, and discover the core CMM nodes in this network using single-index evaluation algorithms. Then, the CMM network can be divided by the clustering algorithm CNM-centrality based on node centrality, and the compatibility regularity among CMM can be found accurately.