Objective:To explore the medication law for threatened irritability in ancient gynecological monographs based on data mining.Methods:Based on Zhong Hua Yi Dian (5th edition), Chinese Medicine Resource Network and the paper version of ancient books, the representative gynecological monographs from the pre-Qin to the Qing Dynasty were selected to retrieve the prescriptions for the treatment of fetal irritability and establish a database. Excel 2019, IBM SPSS Modeler 18.0 and IBM SPSS Statistics 26.0 software were used to perform frequency statistics, association rule analysis and clustering analysis on the data of Chinese materia medica, analyze the core drug groups, and explore the medication laws. Results:A total of 151 prescriptions were included, including 7 kinds of TCM syndrome types, involving 111 kinds of Chinese materia medica. The most commonly used Chinese materia medica were Angelicae Sinensis Radix, Glycyrrhizae Radix et Rhizoma, Atractylodis Macrocephalae Rhizoma, Chuanxiong Rhizoma, and Paeoniae Radix Alba, etc. The efficacy categories were mainly tonic, heat-clearing, blood-activating and stasis-resolving; the medicinal properties were mainly warm and neutral; the tastes were mainly sweet and pungent; the main meridians were spleen, lung, liver and kidney meridians. 17 commonly used TCM combinations were obtained by association rule analysis, and five core TCM combinations were obtained by clustering analysis.Conclusions:In the treatment of threatened irritability, ancient doctors used the method of tonifying kidney and invigorating spleen, tonifying qi and nourishing blood, clearing heat and preventing miscarriage flexibly. The core drugs were mainly Angelicae Sinensis Radix, which was mostly modified on the basic prescriptions such as Siwu Decoction and Jiaoai Decoction.

Objective: We predicted the molecular mechanism of Panax notoginseng in the treatment and improvement of scar hyperplasia, by using the methods of network pharmacology and bioinformatics. Methods: We collected of related active constituents and targets of Panax notoginseng by retrieving TCM systems pharmacology database and analysis platform (TCMSP), and collected of related active constituents and targets of scar by Genecards database and OMIM database. Cytoscape 3.6.1 software was used to construct "drugs-chemical components-targets-diseases" interaction network diagram. The protein in teraction network map (PPI) was constructed by STRING database. The key targets were used to analyze gene ontology (GO) enrichment and kyoto encyclopedia of genes and genome (KEGG) pathway enrichment. Results: Totally 7 chemical compponents, including beta-sitosterol, quercetin, Stigmasterol and etc. and 108 targets, including AKT1, JUN, MAPK1, IL6 and ect. Panax notoginseng exerts its effects on scar mainly by acting on signal pathways, including PI3K-AKt signal pathway, MAPK signal pathway, TNF signal pathway and ect. Conclusions Based on the methodology of network pharmacology, this study preliminarily predicted the major targets and pathways Panax notoginseng in the treatment of scar, providing a direction for further studies.