Analysis on the Changes of Research Hotspots in the Prevention and Treatment of COVID-19 by Traditional Chinese Medicine Based on Knowledge Graph

Objective: To grasp the changing trend of research hotspots of traditional Chinese medicine in the prevention and treatment of COVID-19, and to better play the role of traditional Chinese medicine in the prevention and treatment of COVID-19 and other diseases. Methods: The research literature from 2020 to 2022 was searched in the CNKI database, and CiteSpace software was used for visual analysis. Results: The papers on the prevention and treatment of COVID-19 by traditional Chinese medicine changed from cases, overviews, reports, and efficacy studies to more in-depth mechanism research, theoretical exploration, and social impact analysis, and finally formed a theory-clinical-society Influence-institutional change and other multi-dimensional achievement systems. Conclusion: Analyzing the changing trends of TCM hotspots in the prevention and treatment of COVID-19 can fully understand the important value of TCM, take the coordination of TCM and Western medicine as an important means to deal with public health security incidents, and promote the exploration of the potential efficacy of TCM, so as to enhance the role of TCM in Applications in social stability, emergency security, clinical practice, etc.

Visual Analysis of Knowledge Map of Traditional Chinese Medicine in Prevention and Treatment of Pulmonary Interstitial Fibrosis Based on CiteSpace

Objective: To analyze the relevant research literature on the prevention and treatment of pulmonary interstitial fibrosis with traditional Chinese medicine (TCM), understand the current research status, hot spots and future development trend in this field, and provide basis and feasible suggestions for further research in this field. Methods: The journal literatures related to the prevention and treatment of pulmonary interstitial fibrosis with TCM in recent 20 years in CNKI database were searched and passed through CiteSpace 5.8.R3 generates the knowledge map of relevant literature authors, document issuing institutions and keywords, and makes visual analysis. Results: A total of 1,576 documents were included, and the annual number of documents showed a fluctuating upward trend, forming a relatively stable research team represented by authors such as LYU Xiaodong, PANG Lijian and LIU Chuang;According to the atlas of document issuing institutions, Shandong University of Traditional Chinese Medicine and its affiliated hospitals ranked first in the number of documents issued, and the cooperation between institutions is dominated by the University of traditional Chinese medicine and its affiliated hospitals;Keyword cluster analysis shows that a large number of studies have been carried out in the field of etiology and pathogenesis, TCM compound, clinic and experiment. Conclusion: The research on the prevention and treatment of pulmonary interstitial fibrosis with TCM has a high degree of attention, but the cooperation network between the research authors and institutions needs to be strengthened. The research on the pathogenesis and improving the quality of life of patients is the trend of development in the future.

Treatment Efficacy of Traditional Chinese Veterinary Medicine Mycoplasma Gallisepticum Infection Spray against Experimental Mycoplasma Gallisepticum Infection

[Objective] This study aimed to investigate the treatment efficacy of tradi- tional Chinese veterinary medicine mycoplasma gatlisepticum infection spray against experimental mycoplasma gallisepticum infection. [Method] Experimental chickens in- fected with mycoplasma gallisepticum were used as models to investigate the treat- ment efficacy of different doses of traditional Chinese veterinary medicine mycoplas- ma gallisepticum infection spray. [Result] Medication with traditional Chinese veteri- nary medicine mycoplasma gallisepticum infection spray for continuous 5 d showed certain treatment efficacy against mycoplasma gallisepticum infection. The relative weight gain rate of 0.5 and 1.0 g/m3 dose groups was significantly higher than the infection control group （P〈0.01）; the cure rate of mycoplasma gallisepticum infection spray groups was significantly higher than the infection control group （P〈0.01） and showed no significant difference compared with Taimiaoling control group （P〉0.05）; the mortality rate showed no significant difference among various groups （P〉0.05）, indicating that traditional Chinese veterinary medicine mycoplasma gallisepticum in- fection spray has relatively ideal treatment efficacy against mycoplasma gallisepticum infection. [Conclusion] This study provided reference for treatment of chickens infect- ed with mycoplasma gallisepticum.

Study on the Quality of Traditional Chinese Veterinary Medicine and Discussion on the Problems

In this paper,the study on the quality of traditional Chinese veterinary medicine and its existing problems are discussed,which mainly include the research techniques and research thoughts of traditional Chinese veterinary medicine,and the problems in its research progress,at the same time,the causes for the quality problems of traditional Chinese veterinary medicine are analyzed,and the solutions for the problems are put forward. The quality research of traditional Chinese veterinary medicine should refer to traditional Chinese medicine,then inherit,carry forward and innovate it based on the modern research. Solving the problems in the development of traditional Chinese veterinary medicine and putting forward the thinkings conforming to the development of traditional Chinese veterinary medicine using advanced instruments and devices as well as science and technology are urgent affairs.

Application of Traditional Chinese Veterinary Medicine in Sheep Green Breeding

Disease control and health care with traditional Chinese veterinary medicine( TCVM) has attracted more and more attention in sheep green breeding. To promote healthy and smooth development of the work,the relationships between TCVM and antibiotics,and between TCVM and vaccines,were reviewed and analyzed. It was thought that TCVM and western medicine,such as antibiotics and vaccines,etc.,have their own characteristics and advantages,and should be mutually complemented rather than replaced. We should pay attention to the characteristics and advantages of the wholism concept and syndrome differentiation and treatment( diagnosis and treatment based on an overall analysis of the illness and the patient's condition) of TCVM,to develop and use TCVM health care agent or vaccine adjuvant,and their pertinence was improved according to different growth stages and physiological and pathological characteristics. Diagnosis and treatment based on an overall analysis of the illness and the population patient's condition must be attached importance to optimize the mode of administration,in order to adapt to disease prevention and control requirements in intensive and scale breeding of sheep.

Expression model for multiple relationships in the ontology of traditional Chinese medicine knowledge

Objective:To explore multiple relationships in traditional Chinese medicine(TCM)knowledge by comparing binary and multiple relationships during knowledge organization.Methods:Characteristics of binary and multiple semantic relationships as well as their associations are described.A method to classify multiple relationships based on the involvement of time is proposed and theoretically validated using examples from the ancient TCM classic Important Formulas Worth a Thousand Gold Pieces.The classification includes parallel multiple relationships,restricted multiple relationships,multiple relationships that involve time,and multiple relationships that involve time restriction.Next,construction of multiple semantic relationships for TCM concepts in each classification using Protege,an ontology editing tool is described.Results:Protege is superior to a binary relationship and less than ideal with multiple relationships during the constitution of concept relationships.Conclusion:When applied in TCM,the semantic relationships constructed by Protege are superior than those constructed by correlation and/or attribute relationships,but less ideal than those constructed by the human cognitive process.

Traditional Chinese Medicine Automated Diagnosis Based on Knowledge Graph Reasoning

Syndrome differentiation is the core diagnosis method of Traditional Chinese Medicine(TCM).We propose a method that simulates syndrome differentiation through deductive reasoning on a knowledge graph to achieve automated diagnosis in TCM.We analyze the reasoning path patterns from symptom to syndromes on the knowledge graph.There are two kinds of path patterns in the knowledge graph:one-hop and two-hop.The one-hop path pattern maps the symptom to syndromes immediately.The two-hop path pattern maps the symptom to syndromes through the nature of disease,etiology,and pathomechanism to support the diagnostic reasoning.Considering the different support strengths for the knowledge paths in reasoning,we design a dynamic weight mechanism.We utilize Naïve Bayes and TF-IDF to implement the reasoning method and the weighted score calculation.The proposed method reasons the syndrome results by calculating the possibility according to the weighted score of the path in the knowledge graph based on the reasoning path patterns.We evaluate the method with clinical records and clinical practice in hospitals.The preliminary results suggest that the method achieves high performance and can help TCM doctors make better diagnosis decisions in practice.Meanwhile,the method is robust and explainable under the guide of the knowledge graph.It could help TCM physicians,especially primary physicians in rural areas,and provide clinical decision support in clinical practice.

Role of traditional Chinese medicine in the initiative practice for health

To achieve awareness of the initiative practice for health concept in the Chinese population,traditional Chinese medicine(TCM)doctors should popularize TCM culture and knowledge among young people,people with a low level of education,in low-income populations,and in rural populations.

Analysis of the hotspots and trends in traditional Chinese medicine immunomodulation research based on bibliometrics

Objective To analyze the intellectual structure,hotspots and trends of traditional Chinese medicine(TCM)in immune regulation research.Methods The data were extracted from the Web of Science Core Collection(WoSCC)and the China National Knowledge Infrastructure(CNKI)and verified by two experienced TCM researchers.The time of literature retrieval is up to 2020.CiteSpace 5.7.R1 and Microsoft Excel 2016 were used for the statistical analysis and bibliometric diagrams,including the co-occurrence network of authors,institutions,countries,keywords,references,dual-map overlays of journals and citation bursts,etc.Results A total of 12270 publications related to TCM in immune regulation were included.The annual number of publications has increased in this field.There was close cooperation of countries and institutions,while the distribution of scholars was scattered.China was the core of the cooperation network.The dual-map overlays analysis of journals showed that core and marginal fields had increased.The keywords and references analysis showed that network pharmacology,metabolism and cancer were the most high-frequency keywords with high-intensity bursts.Conclusion TCM in immune regulation has attracted wider attention,with multi-country,multi-field,multi-disciplinary and multi-level research developing toward informatization.Network pharmacology,metabolism and cancer may be the focus of future research in this field.

Dissemination of Traditional Chinese Medicine in Germany from an Intercultural Perspective: A Brief Introduction of Franz Hübotter

Traditional Chinese medicine(TCM)is the cultural heritage of all humankind.TCM not only embodies the cultural crystallization of the region and the nation,but also performs the important mission of curing the lives,saving the sick and maintaining the health of the people.In the history of the spread of Chinese medicine to the West,foreign missionaries have played an important role,and researches about this role have continued in China.In the history of Chinese medicine in Germany,there is a pivotal figure named Franz Hübotter(1881-1967),who broke through the deadlock in the academic research of Chinese medicine in the 19th century in Germany,but the discussion on his contribution has been comparatively rare in China.His works and translations are not only of medical value,but are also valuable historically,culturally,and socially.The historical development of TCM has the authenticity of history,the integrity of the environment,and the richness of the times.Medical experts have explored and verified the value of medicine.Translators and scholars are mainly concerned with the dissemination of knowledge from an intercultural perspective.This paper provides a primitive and objective introduction to Franz Hübotter,hoping to trigger off the secondary research among scholars of different professional backgrounds and to expand professional thinking,and then get over the barriers of disciplines.

A brief overview of traditional Chinese medicine prescription powered by artificial intelligence

Traditional Chinese medicine prescription is one of the treasures of traditional Chinese medicine(TCM).There are tens of thousands TCM prescriptions accumulated in the past thousands of years,corresponding to different diseases,symptoms and therapeutic goals.The correspondences are so complicated that there is an urgent need to leverage new technologies such as artificial intelligence(AI)to analyze,understand and utilize them effectively.In this paper,we present a brief overview of this direction,where current research progress on TCM prescription powered by AI is summarized.Our summarization focuses on three aspects,TCM prescription mining that aims at understanding the TCM prescription,TCM prescription or herb knowledge base construction that aims at extracting knowledge to support the TCM prescription-related study,and TCM prescription discovery that aims at utilizing AI technologies to further energize TCM.It is encouraging to see that steady progress in this direction has been made recently.Besides,a toy experiment on image-based TCM herb recognition by using convolutional neural networks is also conducted.It basically verifies that it is promising to use AI technologies to address challenging tasks in TCM.We also point out several research topics that could be cooperatively performed by researchers from the two disciplines.

Community nurses＇ knowledge need toward traditional chinese medicine and related factors in China： A cross-sectional survey

Purpose：The aim of the study was to examine the knowledge need toward Traditional Chinese Medicine （TCM） in nurses who worked in Community Health Centers, and to explore the related factors in the current situation of China. Subject and setting： Participants worked in five community health centres across Chaoyang Beijing, and each com- munity health centre includes 4-7 health stations. A questionnaire survey was administered to 218 registered commu- nity nurses using cluster sampling. The investigation was conducted after obtaining informed consent from each par- ticipant. Design： A descriptive cross-sectional design was used to gather data in this study. Instruments： The survey tool was a 5-point Likert-type questionnaire designed by experts in TCM and related fields, which had good face va- lidity and internal consistency. Results： The nursing technology of TCM scored highest score in our research （42.87±5.74）. Next came disease prevention in TCM （21.02±2.67）. The lowest mean score was for the usage of Chinese herbal medicine （15.03±2.77）. The significant related factors for nurses＇ knowledge need towards TCM were educa- tional background （P 〈 0.05）, working unit （P 〈 0.01）, ＂on-the-job training on TCM＂ （P 〈 0.01） and ＂have studied lit- erature on Chinese medicine＂ （P 〈 0.05）. Conclusion： This results suggest nurses working in community care would like to learn more about TCM. Improving community nurses＇ understanding and learning of TCM can promote the application and promotion of TCM nursing technology in the community. Therefore, we could adopt targeted education for community nurses, in order to meet their knowledge needs, and to promote the application of traditional Chinese medicine knowledge to the community.

Tacit Knowledge Mining:The Key Traditional Chinese Medical Inheritance

Traditional Chinese medicine(TCM)is a treasure of traditional Chinese culture and a gift to the world.TCM tacit knowledge refers to the knowledge and experiences formed in the process of learning and practice of TCM.The objective of this study is to discuss the importance of TCM tacit knowledge in the inheritance and education of TCM.As the essence of the TCM,TCM tacit knowledge has the characteristics of massive,complicated,relativistic,highly individualized,constantly innovative,the dependence of cultural background and the regional environment,as well as difficult to explicate.It exists in every aspect of the TCM theory and the process of dialectical treatment.Besides the traditional master‑apprentice,family‑based,school‑based,and inheritance and education methods,together with the inheritance based on the books,images,and network platforms,in the process of TCM modernization,a variety of modern theoretical models and computing techniques have also been used in the mining of the TCM tacit knowledge.In this study,we introduced the usage of SECI model,complexity adaptive system,latent variable model,and some of the data mining technologies in the TCM tacit knowledge mining.An accurate and efficient inheritance of TCM tacit knowledge is the key to maintain the vitality and innovative development of TCM.Under the reasonable application and combination of the traditional education methods,modern mining methods,and further the artificial intelligence,the explicit and inheritance of TCM tacit knowledge will get tremendous development,and it could extremely improve the efficiency and accuracy of the TCM inheritance and the TCM modernization.

Visual Analysis of Application and Development Trend of Agarwood Based on CiteSpace

The Chinese traditional medicine,agarwood,is a commonly used medicine for regulating qi,which has many clinical applications because of its unique curative effect.In this study,CiteSpace software was used to visually analyze the application and development trend of agarwood in the literature from CNKI website in the period of 2007-2022.The analysis results showed that the research on agarwood has basically formed core groups of authors,and universities and their affiliated hospitals are main publishing institutions.Moreover,in this study,several research directions of agarwood were also summarized,including clinical research,chemical composition,structural identification and quality standards,showing that agarwood has rich and flexible application prospects in many aspects.On this basis,several suggestions were put forward:strengthening the cooperation between universities and research institutes and building a scientific research cooperation community,and promoting the combination of clinical research and laboratory research.

An improved association-mining research for exploring Chinese herbal property theory: based on data of the Shennong's Classic of Materia Medica

Knowledge Discovery in Databases is gaining attention and raising new hopes for traditional Chinese medicine （TCM） researchers. It is a useful tool in understanding and deciphering TCM theories. Aiming for a better understanding of Chinese herbal property theory （CHPT）, this paper performed an improved association rule learning to analyze semistructured text in the book entitled Shennong＇s Classic of Materia Medica. The text was firstly annotated and transformed to well-structured multidimensional data. Subsequently, an Apriori algorithm was employed for producing association rules after the sensitivity analysis of parameters. From the confirmed 120 resulting rules that described the intrinsic relationships between herbal property （qi, flavor and their combinations） and herbal efficacy, two novel fundamental principles underlying CHPT were acquired and further elucidated： （1） the many-to-one mapping of herbal efficacy to herbal property; （2） the nonrandom overlap between the related efficacy of qi and flavor. This work provided an innovative knowledge about CHPT, which would be helpful for its modern research.

Research on knowledge reasoning of TCM based on knowledge graphs

With the widespread use of Internet,the amount of data in the field of traditional Chinese medicine(TCM)is growing exponentially.Consequently,there is much attention on the collection of useful knowledge as well as its effective organization and expression.Knowledge graphs have thus emerged,and knowledge reasoning based on this tool has become one of the hot spots of research.This paper first presents a brief introduction to the development of knowledge graphs and knowledge reasoning,and explores the significance of knowledge reasoning.Secondly,the mainstream knowledge reasoning methods,including knowledge reasoning based on traditional rules,knowledge reasoning based on distributed feature representation,and knowledge reasoning based on neural networks are introduced.Then,using stroke as an example,the knowledge reasoning methods are expounded,the principles and characteristics of commonly used knowledge reasoning methods are summarized,and the research and applications of knowledge reasoning techniques in TCM in recent years are sorted out.Finally,we summarize the problems faced in the development of knowledge reasoning in TCM,and put forward the importance of constructing a knowledge reasoning model suitable for the field of TCM.

Aknowledge-guided and traditional Chinese medicine informed approach for herb recommendation

Traditional Chinese medicine(TCM)is an interesting research topic in China’s thousands of years of history.With the recent advances in artificial intelligence technology,some researchers have started to focus on learning the TCM prescriptions in a data-driven manner.This involves appropriately recommending a set of herbs based on patients’symptoms.Most existing herb recommendation models disregard TCM domain knowledge,for example,the interactions between symptoms and herbs and the TCM-informed observations(i.e.,TCM formulation of prescriptions).In this paper,we propose a knowledge-guided and TCM-informed approach for herb recommendation.The knowledge used includes path interactions and co-occurrence relationships among symptoms and herbs from a knowledge graph generated from TCM literature and prescriptions.The aforementioned knowledge is used to obtain the discriminative feature vectors of symptoms and herbs via a graph attention network.To increase the ability of herb prediction for the given symptoms,we introduce TCM-informed observations in the prediction layer.We apply our proposed model on a TCM prescription dataset,demonstrating significant improvements over state-of-the-art herb recommendation methods.

Collecting Knowledge about Medicinal Ingredients in Northwestern Sichuan in the 1950s

This article explores China’s state-level knowledge production on medicinal ingredients in northwestern Sichuan in the 1950s.Drawing on county-level archives,published materials and interviews,this historical article traces how different levels of governments and state-owned trading companies produced knowledge about medicinal ingredients and its production.It argues that on one hand the state’s procurement standards codified the knowledge about medicinal ingredients from the marketplace and the local producers.On the other hand,direct extraction of knowledge from the medicine gatherers and cultivators verbalized and collected the previously tacit local knowledge about the production of medicinal ingredients,which would help to alleviate the shortage in the supply of traditional Chinese medicines throughout the 1950s.

基于CNKI和Web of Science数据库2012—2021年中药治疗乳腺癌的文献计量学分析

目的基于CNKI和Web of Science(WOS)数据库对2012—2021年中药治疗乳腺癌的文献进行计量学分析,分析中药治疗乳腺癌的研究现状及发展趋势。方法检索CNKI和WOS数据库2012年1月1日至2021年12月31日已发表的中药治疗乳腺癌的相关文献,运用文献计量学及CiteSpace 5.8.R1软件对研究作者、研究机构及关键词进行可视化分析。结果经筛选最终纳入960篇CNKI数据库文献、809篇WOS数据库文献。2012年以来,CNKI和WOS数据库中药治疗乳腺癌的发文数量总体呈上升趋势。CNKI和WOS数据库发文核心作者分别为32名和35名,占发文总人数的9.2%、9.7%。发文主要来源于中医药类院校及其附属医院,包括中国医科大学、北京中医药大学、上海中医药大学等。2012—2021年中药治疗乳腺癌的热点从早期的多药耐药、生存质量、互补治疗等临床相关研究,过渡至用药规律、网络药理学、数据挖掘、作用机制等多角度多方向。结论中药治疗乳腺癌研究应结合现代科学技术对其进行信息化、数字化和知识化研究,有助于研究人员探索研究的新方向,并确定该领域潜在合作的新视角。

基于关联规则的中医药知识发现——以肺病医案为例

[目的/意义]中医医案作为重要的医疗资源含有大量的数据与信息,深度挖掘中医医案,围绕医案内容进行知识发现,有利于隐性知识的发掘,提高中医临床诊疗的效率与医疗服务的精准性。[方法/过程]以实地肺病医案为数据源,基于统计分析与关联规则的方法对中医医案内容进行挖掘,以咳嗽为主证为出发点,挖掘相关中医用药规律与临床症状以及症—药规律,探究关联规则分析在中医药知识发现方面的创新应用。[结果/结论]本地治疗咳嗽的高频药物包括炙甘草、杏仁、半夏、川贝母、茯苓、陈皮等,舌诊症状以苔薄白、苔薄黄、舌红、舌暗红、有齿印等为常见。基于Apriori算法的关联规则分析显示常见的药物配伍为丹参,桔梗—炙甘草、柴胡,桔梗—炙甘草、前胡,枳壳—桔梗等;舌诊症状以薄淡黄—舌暗红、有齿印—舌暗红、苔薄腻淡黄—有齿印等组合为强关联组合,苔薄淡黄—舌暗红症状组合的强关联药物有桔梗、炙甘草、丹参、白前等。咳嗽患者的类型有外感咳嗽与内伤咳嗽,涉及风热证、痰湿证、阴虚证、肺气虚证、痰热壅肺证等证型。