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Objective:To collect and analyze the evaluation index of infertility treated by Traditional Chinese Medicine (TCM), which will lay a foundation for the establishment of the core index and evaluation index system of TCM treating infertility.Methods:By retriving the published literatures of randomized controlled trials of infertility treated by TCM in the database of CNKI, VIP, Wanfang, SinoMed, PubMed and Cochrane Library from January 1, 2011 to December 31, 2020, and after the screening according to the creteria of inclusion and exclusion, this paper analyzed the normal indexes of infertility and the pathogenic indexes of TCM.Results:A total of 95 RCTs were included, including 9 069 patients aged between 20-39 years old. The average sample size of each RCT study was 95, involving 78 evaluation criteria. The highest frequency of use was the total effective rate, etiological-index analysis found that the general indicators of infertility such as the total effective rate, pregnancy rate, TCM syndrome scores,and common etiological factors such as LH, FSH are the characteristic indicators.Conclusion:There are many problems in the evaluation indexes of clinical trials of treating infertility by TCM, such as great differences in number and not standardized usage. It is necessary to carry out research on the construction of core indicator and evaluation indicator systems of infertility according to different etiologies.
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Objective:To analyze the medication rules in the ancient book Pu Ji Fang for the external treatment of acne based on data mining method. Methods:By screening out the methods of treating acne externally in Pu Ji Fang and establishing a standardized medical record database, this paper adopted the web version of Ancient and Modern Medical Record Cloud Platform to calculate the frequency, properties, flavors, and meridians of those medicines, and conduct cluster analysis by using IBM SPSS Modeler 18.0 software to analyze the association rules. Results:A total of 87 prescriptions were selected, including 164 kinds of Chinese materia medica, among which. Radix Angelicae, Ligusticum Wallichii, Rhizoma Typhoni and lead powder are frequently appeared. The properties of those medicines are mainly warm, cold and mild; the flavors of those medicines are mainly spicy, acrid, sweet and bitter, and the meridians mainly belongs to lung, spleen, stomach and liver meridians. The medical pair and group with the strongest associationion are Ligusticum Wallichii- Radix Angelicae and Rhizoma Typhonii- Radix Angelicae- Ligusticum Wallichii. Those freuently appeared medicines could be grouped into three categories. The paste dosage that was frequently appeared has strong correlation with tallow, mercury and lead powder, while the powder dosage that was frequenctly appeared has strong correlation with Angelica Dahurica, Radix Saponicae, Gleditsia sinensis, Radices Ligustici Sinensis and Ligusticum Wallichii. Conclusions:The application of data mining method could preliminarily reveal the medication rules of Pu Ji Fang for the external treatment of acne. The main treatment method is XinSanFaYue. The three categories of Chinese materia medica are used to treat the syndrome of asthenic habitus attacked by exogenous pathogenic factors, exterior attacked by wind heat and hot blood stasis respectively, showing the rules of treating acne externally before Ming Dynasty and providing references for the clinical treatment of acne.
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With the rapid development of science and technology, more creative methods have been applied to the inheritance mode of traditional Chinese medicine, such as studying the inheritance process of famous doctorsin an objective and rigorous way. The bottleneck of information transmission from famous doctors is to collect data, process data, apply algorithms, analyze and summarize data. The integration of artificial intelligence and big data deep learning algorithm knowledge mapping technology and other technical methods has brought technological innovation for the inheritance of famous doctors. With such development, the team of the research center of TCM grand health intelligence, Institute of Information on Chinese Medicine, China Academy of Chinese Medical Science, has carried out a series of professional application system research in the field of traditional Chinese medicine, centering on the planning and inheritance of famous doctors. We developed the ancient and modern medical case cloud platform, medical big data analysis platform, cloud medical APP, and famous doctor inheritance workstation. In such way, the problems were solved of low efficiency of medical case collection and the lack of objective data support and information barriers in the experience summary of famous doctors. The artificial intelligence techniques are to promote the inheritance of famous doctors' experience and improve the teaching ability and efficiency.