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The meridian theory is the pioneer of clinical diagnosis and treatment of diseases in Traditional Chinese Medicine (TCM). From Shang Han Lun to Pi Wei Lun, the meridian theory has contributed important theoretical organization materials and clinical practice experience to the establishment of the diagnosis system of external and internal injuries. The acupoints contained in its clinical acupuncture and moxibustion record symptoms, and some laws summarized have been absorbed and used for reference. It shows the positive significance of its exploration in clinical diagnosis and treatment. A system of differentiation and treatment of external and internal injuries with acupuncture has not been formed, even though the meridian theory of TCM has a long history with many areas being explored, such as diseases, acupoints, acupuncture methods and stimulation amount. Therefore, this paper starts from the academic development history of meridians, reviews and analyzes the contribution and limitations of TCM acupuncture and moxibustion in the diagnosis and treatment of internal injury, in order to enlighten the current study and understanding of TCM.
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The international TCM clinical knowledge database is demand-oriented, fully integrated TM resources of the Institute of Information on Traditional Chinese Medicine of China Academy of Chinese Medical Sciences that has accumulated for decades, with increased new resources. The resources are structured by subject indexing, classification and knowledge extraction, and are hierarchically translated by machine translation and manned proofreading. In addition, the research group also designs and develops service platform using ontology, semantic web, association relationship and other information technology. The knowledge database will provide knowledge service to TCM practitioners and the general public worldwide, and promote the internationalization of TCM.
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Objective:To analyze the medication rules of modern physicians on treating depression syndrome, so as to provide reference for clinical treatment of depression syndrome.Methods:We collect and sort out the modern medical records of depression syndrome in the cloud platform of ancient and modern medical records (v1.5) and the modern medical records' database of famous doctors, and search CNKI, Chongqing VIP and Wanfang databases for the modern depression medical cases from journals during database establishment time to October 1, 2018. We extracted traditional Chinese medicine prescription data in the medical records, and applied the ancient and modern medical records cloud platform (v 1.5) to standardize the acquired TCM data, and integrate data mining function for frequency statistics, cluster analysis, association analysis and complex network analysis to obtain the high frequency of drugs' attributes, classification, and common drug pairs and core prescriptions of modern doctors. Results:After screening, a total of 1 984 cases were included, 3 618 cases were diagnosed, and 3 089 pieces of data of TCM prescriptions were included. A total of 1 458 medicines were involved, and the total frequency of medication was 39 634. The high frequency medicines were: Bupleurum chinense (1 546 times), Poria cocos (1 210 times), Angelica sinensis (1 167 times), Paeonia lactiflora (1 109 times) and Tulip (1 091 times). The commonly used Chinese medicines were mainly warm, flat, bitter and bitter, mostly attributed to the four meridians of spleen, lung, liver and heart. Commonly used medicines were Radix Paeoniae Alba- Bupleurum, Radix Angelicae- Bupleurum, Radix Bupleurum- Tulip, Radix Angelicae- Paeoniae Alba, Radix Angelicae- Paeoniae Alba- Bupleurum, etc. The core prescriptions were Suanzaoren Decoction, Chaihu- Shugan San and Erchen Decoction. Conclusions:Modern physicians' treating principles for depression syndrome is soothing liver and regulating qi, invigorating spleen and nourishing heart, emphasizing qi and blood, harmonizing liver, spleen and heart, and linking TCM pathogeneses.
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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.
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Objective: To research the medication regularity of Chinese medicine on treating urinary tract infection based on the Ancient and Modern Consilia Cloud Platform to provide references for clinical treatment of urinary tract infection.Methods: The Ancient and Modern Consilia Cloud Platform was used to screen the consilia of Traditional Chinese Medicine for the treatment of urinary tract infection, the materials mainly come from books, journal articles, famous medical studios in the modern Chinese medicine case database. Screening, cleaning, standardizing consilia, and the standardized consilia database was set up. Statistical analysis, cluster analysis and complex networks were used to analysed the core prescription, the herb medicine frequency, the herb medicine four gas, the herb medicine five flavors, the herb medicine channel tropism and other regularity of Chinese medicine treatment of urinary tract infection, and displayed visually. Results: A total of 501 prescriptions were included, a total of 245 herb medicine were involved, and liquorice, poria, dianthus superbus and rehmannia were used more frequently. The tastes are cold, neutral, sweet taste, and bitter taste. Their channel tropisms mainly belong to lung and liver. The core prescriptions are based on Bazhengsan and Zhibaidihuangwan. Conclusion: Heat, dampness and diuretic herbs are used in the treatment of urinary tract infections in Chinese medicine, and nourishing yin and kidney, and relieving the stagnation of liver at the same time.Asthenic and sthenia syndrome, appearance and essence are also taken into account.
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Base on literature analysis, the paper summarized that the five core principles of the traditional Chinese medicine academic development included that the practice is the source of traditional Chinese medicine development, the culture is the foundation of traditional Chinese medicine development, the inheritance is the basic approach of traditional Chinese medicine development, the classics is the important carrier of traditional Chinese medicine development, and the innovation is the power of traditional Chinese medicine development.
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Objective Based on the traditional Chinese medical knowledge service and sharing system, to explore the application of famous doctor Yu Ying'ao's regulating the liver method. Methods The medical records of Yu Ying'ao from the outpatient department of Chinese Academy of Sciences were used as the data source. The traditional Chinese medical knowledge service and information sharing system(V1.1.5) was applied to construct database. The regulating liver core combination of drugs, drug application mode, and combined treatment of diseases and syndromes were determined by analysis methods of frequency and association rules. Results The use of regulating liver method was often used in the treatment of irregular menstruation, cirrhosis, pain and other diseases. Differentiation of liver qi stagnation, blood stasis, liver stagnation and spleen deficiency, liver and kidney deficiency were the main TCM syndromes. Treatment included Tongluo, nourishing Yin treatment. The core drugs were Bupleurum and Rhizoma Cyperi. Conclusions The use of traditional Chinese medical service and knowledge sharing system could explore the clinical diagnosis and medication rules of regulating liver methods.
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Base on literature analysis, the paper summarized that the five core principles of the traditional Chinese medicine academic development included that the practice is the source of traditional Chinese medicine development, the culture is the foundation of traditional Chinese medicine development, the inheritance is the basic approach of traditional Chinese medicine development, the classics is the important carrier of traditional Chinese medicine development, and the innovation is the power of traditional Chinese medicine development.
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How to discover the valuable knowledge from the large amount of prescription data accumulated in the long-term medical practice of traditional Chinese medicine (TCM) is one of the important contents of TCM modernization.Based on the prescription data of Xue' s clinical practice of many years,this paper explored the method of combining TCM network and prescription network to find out Xue' s common core drug combination.Based on 9,584 prescriptions in the Hospital Information System of Guang'anmen Hospital of China Academy of Chinese Medical Sciences,prescription network and drug network were constructed according to the similarity of prescription composition and drug co-occurrence relationship.Using the complex network analysis methods,such as community analysis method,to analyze the prescription and drug compatibility,the results were evaluated and analyzed by Xue and his successors.As a result,through complex network analysis,126 modular prescriptions and 4 TCM modules were obtained.One of the core components of the prescription module included Xiao Chai Hu decoction,Yin Qiao powder,and Sheng Jiang powder compound addition and subtraction.It was in consistent with the drug composition of exogenous febrile prescriptions excavated earlier.In conclusion,using the complex network methods,we can get some core drug combinations prescribed by Prof.Xue,and achieve the common compound core drug combination for treating diseases with certain vantages,laying a foundation for further inheriting and excavating Xue' s effective experience.
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Based on traditional Chinese medicine (TCM) herb data of inpatient department and senior famous TCM doctors from many TCM hospitals in China. Existing problems of TCM herb data standardization preprocessing were analyzed in order to explore scientific and reasonable preprocessing program which can provide technical support for the accurate analysis of herbal information. Clinical medicine doctors and herbal pharmacists collaborated and analyzed the real-world TCM herb data collected from multi-regions. In connection with characteristics of TCM, data mining was combined in the analysis of requirement to identify existing problems and explore appropriate problem-solving solutions. The results showed that based on the Pharmacopoeia of the People's Republic of China (PPRC, 2010 version) and regional herb preparing and dispensing guidelines, the herb collection rules, methods and processes were made for the herb data standardization. Herbal data processing program for different regions were formulated. It was concluded that herb data standardization rules and methods made by this plan solved standardization and accuracy of TCM herb data analysis and utilization in multi-area.
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Traditional Chinese medicine (TCM) clinical symptoms, which were main evidences in syndrome differentiation and treatment, were also main data in the clinical individual diagnosis and treatment. However, the absence of high-quality symptom ontology was still obvious in TCM clinical and data using. By analyzing the research and data of clinical phenotype ontologies associated with symptoms, this paper was aimed to introduce and sort the existing ontologies, in order to discuss related problems. Furthermore, we provided ideas and expound the importance of building data network of symptoms, diseases, genes, drugs, chemicals, side effects with the data we collected and disposed around symptoms, in order to construct TCM clinical phenotype ontology. We believed that our work will help the development of individual treatment and precision medicine in TCM. It was also the key of individual big data analysis which was urgent need to promote.
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Real world clinical diagnosis and treatment activity is a complicated decision-making task. The effective clinical cases of traditional Chinese medicine (TCM) of highly experienced physicians play an important role in the routine diagnosis and treatment and the formulation of medical knowledge . Based on TCM electronic medical record data, this paper proposed a decision support prototype system on TCM clinical diagnosis and treatment based on TCM effective clinical cases and case-based reasoning (CBR) algorithm, which is used to assist inexperienced clinicians to make more reliable clinical decisions, and thereafter to improve the clinical curative effectiveness. The system integrates TCM clinical cases data set from a TCM clinical data warehouse, and retrieves the similar cases based on CBR method. In particular, according to the underlying personalized diagnosis and treatment for patients in TCM, this system implemented a flexible diagnosis and treatment modification mechanism based on correlation analysis among symptoms, diagnoses (syndrome or pattern in TCM) and medicine. Finally, through a demonstration of clinical application, we made an initial evaluation of the usefulness and practical effects of the system.