Study on Medical Records of Xiexin Decoction Analogous Prescriptions Based on Complex Network Algorithm Objective To summarize the core drugs, compatibility rules and properties, flavor and meridian tropism of the Xiexin Decoction Analogous Prescriptions by complex network mining techniques, in order to provide reference for the research of the Analogous prescriptions. Methods The prescription information was extracted from the case of Xiexin Decoction Analogous Prescription(herbs acrid in flavor for dispersing and herbs bitter in flavor for descending)in the the xe2x80x9cAncient and Modern Medical Case Cloud Platformxe2x80x9d, and the core drugs, compatibility rules and properties, flavor and meridian tropism of the Xiexin Decoction Analogous Prescriptions were analyzed. Results The core drugs of Xiexin Decoction Analogous Prescription were Pinellia, Dried Ginger, Licorice, Rhizoma Coptidis, Scutellaria, Poria, Codonopsis, Jujube, Radix Paeoniae Alba, Atractylodes Rhizome, Tangerine, Amomum vulgaris. The herbs especially belonged to the warm properties, the acrid flavor, and the meridian tropism of these drugs belonged to spleen and stomach channels. Excavation of the common drugs on the compatibility and network compatibility group are: ScutellariaCoptis, Dried ginger  Pinellia, Jujube  Licorice  Codonopsis, BerberineScutellaria  PinelliaDried ginger. Conclusion Using the complex network mining technology, the core drugs, compatibility drugs and properties, flavor and meridian tropism of the Xiexin Decoction Analogous Prescription were obtained, which played an exemplary role in further digging into the compatibility of the analogous prescriptions.

An approach to calculation and visualization of efficacies of Traditional Chinese Medical formulae based on a semantic network Traditional Chinese Medicine (TCM) is widely used and tested in ethnic communities for a long history. A large number of TCM formulae, as the centralized expression of xe2x80x9ctheory, cure, recipe, and medicinexe2x80x9d, were preserved and recorded in way of relatively completed ingredients and lack of wellnoted efficacies. The main objective of this paper is to translate dosage of each herb in a TCM formula into intensity of its efficacies in a quantitative and visual way. In this study, firstly, we estimated the intensity between a herb and its efficacies quantitatively based on clinical case data, which can reflect the difference between main and secondary efficacies of a herb. Then, to calculate and visualize the interaction between different efficacies from different herbs, we have proposed a method based on the Efficacy Semantic Network (ESN). It includes three steps: (1) Simple cumulation; (2) Adjustments; (3) Main efficacies selection. We tested on a dataset of 70 TCM formulae, results show that maximum performance measure reaches 0.818 which prove that the proposed approach could help standardize existing and predict potential efficacies of TCM in a quantitative way. It shows a great potential of semantic technologies to represent, calculate and visualize the TCM knowledge. However, more efforts are still required to investigate how to represent other fuzzy and rulebased knowledge and bring more data of TCM formulae for extensive tests.