Academic literature on the topic 'Chinese herbal medicine'

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Journal articles on the topic "Chinese herbal medicine"

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Yang, Bo, Yun Xie, Maojuan Guo, Mitchell H. Rosner, Hongtao Yang, and Claudio Ronco. "Nephrotoxicity and Chinese Herbal Medicine." Clinical Journal of the American Society of Nephrology 13, no. 10 (2018): 1605–11. http://dx.doi.org/10.2215/cjn.11571017.

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Chinese herbal medicine has been practiced for the prevention, treatment, and cure of diseases for thousands of years. Herbal medicine involves the use of natural compounds, which have relatively complex active ingredients with varying degrees of side effects. Some of these herbal medicines are known to cause nephrotoxicity, which can be overlooked by physicians and patients due to the belief that herbal medications are innocuous. Some of the nephrotoxic components from herbs are aristolochic acids and other plant alkaloids. In addition, anthraquinones, flavonoids, and glycosides from herbs also are known to cause kidney toxicity. The kidney manifestations of nephrotoxicity associated with herbal medicine include acute kidney injury, CKD, nephrolithiasis, rhabdomyolysis, Fanconi syndrome, and urothelial carcinoma. Several factors contribute to the nephrotoxicity of herbal medicines, including the intrinsic toxicity of herbs, incorrect processing or storage, adulteration, contamination by heavy metals, incorrect dosing, and interactions between herbal medicines and medications. The exact incidence of kidney injury due to nephrotoxic herbal medicine is not known. However, clinicians should consider herbal medicine use in patients with unexplained AKI or progressive CKD. In addition, exposure to herbal medicine containing aristolochic acid may increase risk for future uroepithelial cancers, and patients require appropriate postexposure screening.
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Drew, Anna, Ian M. Whyte, Andrew H. Dawson, Alan Benoussan, and Stephen P. Myers. "Chinese Herbal Medicine." Australian Journal of Hospital Pharmacy 30, no. 2 (2000): 71–72. http://dx.doi.org/10.1002/jppr200030271a.

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Han, Ke, Lei Zhang, Miao Wang, Rui Zhang, Chunyu Wang, and Chengzhi Zhang. "Prediction Methods of Herbal Compounds in Chinese Medicinal Herbs." Molecules 23, no. 9 (2018): 2303. http://dx.doi.org/10.3390/molecules23092303.

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Chinese herbal medicine has recently gained worldwide attention. The curative mechanism of Chinese herbal medicine is compared with that of western medicine at the molecular level. The treatment mechanism of most Chinese herbal medicines is still not clear. How do we integrate Chinese herbal medicine compounds with modern medicine? Chinese herbal medicine drug-like prediction method is particularly important. A growing number of Chinese herbal source compounds are now widely used as drug-like compound candidates. An important way for pharmaceutical companies to develop drugs is to discover potentially active compounds from related herbs in Chinese herbs. The methods for predicting the drug-like properties of Chinese herbal compounds include the virtual screening method, pharmacophore model method and machine learning method. In this paper, we focus on the prediction methods for the medicinal properties of Chinese herbal medicines. We analyze the advantages and disadvantages of the above three methods, and then introduce the specific steps of the virtual screening method. Finally, we present the prospect of the joint application of various methods.
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Tang, Shiyi, Jiahao Jue, and Yifan Lin. "Study on Identification Method of Chinese Herbal Medicine based on Infrared Spectroscopy Characteristics." Highlights in Science, Engineering and Technology 24 (December 27, 2022): 143–61. http://dx.doi.org/10.54097/hset.v24i.3906.

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The identification of Chinese herbal medicines is a key issue in the field of traditional Chinese medicine. Based on the characteristics of Chinese herbal medicines, the classification of types, producing areas, and quality can be realized. However, traditional identification methods of Chinese herbal medicines mainly rely on manual identification methods, which requires a lot for identification personnel with low efficiency. To solve this problem, we study the intelligent method of identification of Chinese herbal medicines by using data of infrared spectroscopy characteristic. To solve this problem, this paper studies the classification of spectral characteristic data of Chinese herbal medicines from unsupervised and supervised learning. Firstly, an improved K-means clustering algorithm based on Gaussian distribution model is established for unsupervised spectral classification of Chinese herbal medicines. This method “over-classifies” the sample data by K-means clustering algorithm, and further classifies the data by Gaussian mixture model, thus realizing unsupervised classification of Chinese herbal medicines. Secondly, aiming at the supervised classification and recognition of Chinese herbal medicines, an improved discriminant analysis classification method based on Gaussian distribution is established to identify different kinds and producing areas of Chinese herbal medicines. Finally, we test our method on two sets of data with and without tagged information, with Chinese herbal medicines in two data sets identified respectively. The experimental results fully verify the effectiveness of the method, especially in the supervised identification of Chinese herbal medicines. We have proved the effectiveness of our designed model through the comparison of various methods and extensive tests.
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Zhu, You-Ping, and Herman J. Woerdenbag. "Traditional Chinese herbal medicine." Pharmacy World & Science 17, no. 4 (1995): 103–12. http://dx.doi.org/10.1007/bf01872386.

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Ernst, E. "Chinese Herbal Medicines." Focus on Alternative and Complementary Therapies 7, no. 2 (2010): 207–8. http://dx.doi.org/10.1111/j.2042-7166.2002.tb05483.x.

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Adams, A. K. "Chinese herbal medicines." Anaesthesia 58, no. 4 (2003): 385. http://dx.doi.org/10.1046/j.1365-2044.2003.03095_2.x.

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Adams, Aileen K. "Chinese Herbal Medicines." Journal of Medical Biography 11, no. 2 (2003): 124. http://dx.doi.org/10.1177/096777200301100219.

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Liu, Shihui, Toshihiko Matsuo, Chie Matsuo, and Takumi Abe. "Traditional Chinese Medicines and Prescriptions Brought from China to Japan by a Monk (Jianzhen, Japanese: Ganjin): A Historical Review." Compounds 2, no. 4 (2022): 267–84. http://dx.doi.org/10.3390/compounds2040022.

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(1) Background: Japanese Kampo medicine has its origin in ancient Chinese medicine. In 742, a Tang Dynasty monk named Jianzhen (Ganjin) was invited by Japanese clerics to visit Japan and teach commandments in Buddhism. Because of the dangers of the voyage and also other obstacles, he took 11 years to reach Japan on the sixth voyage and he was blind when he arrived in Japan. He was the first person in China to go to Japan to establish the Buddhism commandments, and he was also the first person in Japan to directly teach traditional Chinese medicine. Until now, there have been few reports in English about the details of the Chinese herbal medicines he brought to Japan, including the types of herbal medicines, pharmacological activities, and formulations. In the review, we systematically and comprehensively summarized Jianzhen’s life from the standpoint of his medical and pharmaceutical knowledge and the types and pharmacological activities of Chinese herbal medicines and prescriptions that were brought to Japan by Jianzhen; (2) Methods: A review was made on the relevant literature written by Chinese, Japanese, and English languages regarding the medical and pharmacological knowledge of Jianzhen, the 36 Chinese herbal medicines brought to Japan by Jianzhen, and the pharmacological and therapeutic effects of these 36 herbal medicines, as well as their formulations; (3) Results: The review of the literature proved that Jianzhen’s prescriptions served as a basis for current herbal medicines (Kampo) in Japan. In the process of the literature search, we found a book entitled Jianshangren (Holy Priest Jianzhen)’s Secret Prescription, which recorded the complete prescription of the 36 traditional Chinese medicines Jianzhen brought to Japan; (4) Conclusions: Jianzhen is one of the ancestors of traditional Chinese medicine/Kampo medicine, and he brought traditional Chinese medicine and medical books to Japan for patients. He made important contributions to the development of traditional Chinese medicine in Japan.
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Yu, Ao, David Adelson, and David Mills. "Chinese Herbal Medicine Versus Other Interventions in the Treatment of Type 2 Diabetes." Journal of Evidence-Based Integrative Medicine 23 (January 1, 2018): 2515690X1878151. http://dx.doi.org/10.1177/2515690x18781519.

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Diabetes affects 422 million people and directly caused 4.9 million deaths according to the global report on diabetes in 2014. Type 2 diabetes accounts for 90% of people with diabetes around the world. Chinese herbal medicine treatment for diabetes has more than 2000-year history in China. An increasing number of people around the world are trying to manage type 2 diabetes with Chinese herbal medicine. However, there is a lack of evidence to decide if Chinese herbal medicine is effective and safe when compared with other interventions for the treatment of type 2 diabetes We identified 58 randomized controlled trials involving 6637 participants with type 2 diabetes with trial periods lasting from 8 weeks to 1 year (average 12 weeks). We extracted data following a predefined hierarchy. A total of 132 different Chinese herbal medicines were examined. We included studies comparing Chinese herbal medicine with other interventions and excluded trials that did not satisfy the inclusion criteria. We evaluated primary outcomes of trials in accordance with the Cochrane Handbook for Systematic Reviews of Intervention. Fifty-six out of 58 studies reported evidence that Chinese herbal medicines were effective at controlling blood sugar, insulin resistance, and traditional Chinese medicine clinical symptoms for patients with type 2 diabetes. And outcome variables are summarized. However, the evidence is limited because of the quality of the studies. Well-designed long-term studies with large samples and multiple centers as well as standardization and quality control will be required to determine if Chinese herbal medicine treatment is effective and safe for type 2 diabetes.
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Dissertations / Theses on the topic "Chinese herbal medicine"

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Cheng, Chung Wah. "Chinese herbal medicine for functional constipation." HKBU Institutional Repository, 2009. http://repository.hkbu.edu.hk/etd_ra/1090.

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Au, Ching Tung Dawn. "Pharmacognostical studies on Hakka herbal medicine Wuzhimaotao." HKBU Institutional Repository, 2009. http://repository.hkbu.edu.hk/etd_ra/991.

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Teng, Lida. "Pharmacovigilance of traditional Chinese herbal medicine in the UK." Thesis, University College London (University of London), 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.499080.

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Hsiao, I.-Hsuan. "Pharmaceutical patent jurisprudence and the modernization of Chinese herbal medicine." Thesis, Queen Mary, University of London, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.515514.

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Flower, Andrew Mark. "The role of Chinese herbal medicine in the treatment of endometriosis." Thesis, University of Southampton, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.515863.

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Nolan, J. E. "Investigations on Gor-Kan-Shan-Lien-Tan, a Chinese herbal medicine." Thesis, Cardiff University, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.372346.

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Tian, Xiao Ying. "The study of Chinese herbal medicine in embryonic development of mice." HKBU Institutional Repository, 2009. http://repository.hkbu.edu.hk/etd_ra/1071.

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Thomsen, Michael, and n/a. "Immunomodulatory effects of traditional Chinese herbal formulation, ginseng and dang gui ten combination (PS10)." Swinburne University of Technology, 2006. http://adt.lib.swin.edu.au./public/adt-VSWT20061128.123722.

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The severe debility and immune dysfunction associated with serious disease may respond well to treatment with the tonic formulas from Traditional Chinese Medicine (TCM). One of these, Ginseng and Dang Gui Ten Combination has gained prominence as the formula most suitable to assist convalescence after chemotherapy and radiotherapy. A literature review of the herbal combination suggests that it synergistically provides a broad range of pharmacological activity with a very low level of toxicity. The herbs may have haemopoietic, antimutagenic, antitumour, immunomodulatory and anticomplement activities and they seem to promote lymphocyte activation, interleukin production, protect various organs against toxicity, inflammation and ulceration, and promote drug delivery and radiation sensitising while protecting healthy tissue. The specific immunomodulatory effects of PS10 combination were investigated in 10 healthy volunteers (7 males and 3 females aged 43 to 58 years). The study was a longitudinal study (28 days), using a repeated measures design to investigate the pre and then post intervention changes in Natural Killer (NK) cell activity as well as total and differentiated lymphocyte counts. Furthermore, liver function tests (LFT) were included to assess any adverse effects on the liver. It was envisaged that NK cells or other white blood cell subset variation could indicate an immunomodulatory effect of the herbal formulation, PS10. Investigative methodologies included NK cell function assessment via the ability of peripheral blood lymphocytes (PBL) to lyse the human erythroleukemia cell line K562.(Lozzio and Lozzio, 1975) Target cells are labelled by incubation with radioactive chromium, washed, then added to a dilution series of PBMC's and incubated for 4 hours. Supernatants are harvested and the amount of intracellular chromium- 51 released into the supernatant is measured with a gamma counter. The amount of chromium-51 released is proportional to the lytic activity of the NK cells. The gradient of the line of best fit through the plotted points was recorded as the measure of cytotoxicity or killing.(Brooks and Flannery, 1980) The steeper the gradient, the greater the cytotoxicity. This pilot study demonstrated that the herbal preparation Ginseng and Dang Gui Ten Combination (PS10) increased the total number of lymphocytes cells in healthy human volunteers (n=10) (p<0.007). Although the test formulation increased NK cell activity in some participants, the change in mean NK cell cytotoxicity was not significant.
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Huen, Man-kit, and 禤文傑. "Protocol development for the quality control of multi-component Chinese herbal preparation." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2003. http://hub.hku.hk/bib/B2973891X.

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Thomsen, Michael. "Immunomodulatory effects of traditional Chinese herbal formulation, ginseng and dang gui ten combination (PS10)." Australasian Digital Thesis Program, 2006. http://adt.lib.swin.edu.au/public/adt-VSWT20061128.123722.

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Thesis (MSc) - Graduate School of Integrative Medicine, Swinburne University of Technology, 2006.
Typescript. Thesis submitted for the degree of Master of Science, Graduate School of Integrative Medicine, Swinburne University of Technology, 2006. Includes bibliographical references (p. 208-242).
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Books on the topic "Chinese herbal medicine"

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P, Reid Daniel. Chinese herbal medicine. Shambhala, 1987.

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Liu, Chongyun. Chinese Herbal Medicine. Taylor and Francis, 2004.

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P, Reid Daniel. Chinese herbal medicine. Shambhala, 1992.

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Lesley, Tierra, ed. Chinese traditional herbal medicine. Lotus Light Pub., 1998.

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Lu, Henry C. Chinese herbal cures. Sterling Pub. Co., 1994.

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Chinese herbal medicine: Materia medica. Eastland Press, 1986.

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Maciocia, Giovanni. Safety of Chinese herbal medicine. Su Wen, 1999.

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Scheid, Volker. Chinese herbal medicine: Formulas & strategies. 2nd ed. Eastland Press, 2009.

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Maciocia, Giovanni. Safety of Chinese herbal medicine. 2nd ed. Su Wen, 2000.

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Bensky, Dan. Chinese herbal medicine: Materia medica. 3rd ed. Eastland Press, 2004.

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Book chapters on the topic "Chinese herbal medicine"

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Cheng, Juei-Tang. "Chinese Herbal Medicine: Perspectives." In Herbal Medicines. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-4002-8_14.

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Tan, Hsiewe Ying, and George Binh Lenon. "Atopic Dermatitis and Chinese Medicine." In Herbal Medicines. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-4002-8_9.

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Chang, Shih-Liang. "Chinese Herbal Medicine Including Historical Aspects." In Herbal Medicines. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-4002-8_1.

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Wang, C., and Y. Shoyama. "Herbal medicine." In Traditional Chinese Medicine. CRC Press, 2011. http://dx.doi.org/10.3109/9781841848433-5.

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Wang, Tao. "Chinese Herbal Medicine." In Contemporary Chinese Medicine and Acupuncture. Elsevier, 2002. http://dx.doi.org/10.1016/b978-0-443-06589-7.50012-2.

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"Chinese Herbal Medicine." In Bridging the Gap. WORLD SCIENTIFIC, 2020. http://dx.doi.org/10.1142/9789811204036_0006.

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"Chinese Herbal Medicine." In Evidence-based Clinical Chinese Medicine. WORLD SCIENTIFIC, 2017. http://dx.doi.org/10.1142/9789814759069_0005.

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Hoek, T., and Z. Shao. "Herbal antioxidants." In Traditional Chinese Medicine. CRC Press, 2011. http://dx.doi.org/10.3109/9781841848433-17.

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"Traditional Chinese Medicine." In Herbal and Traditional Medicine. CRC Press, 2004. http://dx.doi.org/10.1201/9780203025901-49.

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Ang-Lee, M., and D. Basila. "Commonly used herbal medicines." In Traditional Chinese Medicine. CRC Press, 2011. http://dx.doi.org/10.3109/9781841848433-3.

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Conference papers on the topic "Chinese herbal medicine"

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Zhu, Yingli, and Ziyi Jiang. "Monitoring System for Valuable Chinese Herbal Medicine Growth." In 2019 Cross Strait Quad-Regional Radio Science and Wireless Technology Conference (CSQRWC). IEEE, 2019. http://dx.doi.org/10.1109/csqrwc.2019.8799205.

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Chaolan, Guo, Liang Linlin, and Cao Ke. "Application of Chinese herbal medicine additives in aquaculture." In 2014 International Conference on Economic Management and Social Science (ICEMSS 2014). Atlantis Press, 2014. http://dx.doi.org/10.2991/emss-14.2014.40.

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Zhao, Wen, Weikai Lu, Chang'en Zhou, et al. "Neural Network-Based Prescription of Chinese Herbal Medicines." In 2021 11th International Conference on Information Technology in Medicine and Education (ITME). IEEE, 2021. http://dx.doi.org/10.1109/itme53901.2021.00084.

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Guang Zheng, Junping Zhan, Hongtao Guo, Miao Jiang, Cheng Lu, and Aiping Lu. "Rule-based text mining of traditional Chinese medicine patterns with Chinese herbal medicines and symptoms on cirrhosis." In 2012 International Symposium on Information Technology in Medicine and Education (ITME 2012). IEEE, 2012. http://dx.doi.org/10.1109/itime.2012.6291368.

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Zhou, Hongmei, Jing Yang, Jinrui Guo, et al. "Rule-based text mining of traditional Chinese medicine patterns with Chinese herbal medicines and formulae on hypertension." In 2013 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2013. http://dx.doi.org/10.1109/bibm.2013.6732708.

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Wang, Wei, Wei Tian, Wenhe Liao, Baochang Cai, and Bo Li. "Identifying Chinese Herbal Medicine by Image with Three Deep CNNs." In CCEAI 2021: 5th International Conference on Control Engineering and Artificial Intelligence. ACM, 2021. http://dx.doi.org/10.1145/3448218.3448221.

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He, Ting, Supei Xue, and Yahong Zhang. "Research on Digital Development of Traditional Culture of Chinese Herbal Medicine*." In 4th International Conference on Culture, Education and Economic Development of Modern Society (ICCESE 2020). Atlantis Press, 2020. http://dx.doi.org/10.2991/assehr.k.200316.055.

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Hu, Xiao, and Wen-ying Ding. "The research of procurement strategies for the Chinese herbal medicine enterprise." In EM2010). IEEE, 2010. http://dx.doi.org/10.1109/icieem.2010.5646021.

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He, Dan, Aiping Lu, Miao Jiang, Guang Zheng, Ning Zhao, and Minzhi Wang. "Text Mining on Chinese Herbal Medicine Rule Exploration for Ovarian Cyst." In The 2013 International Conference on Applied Social Science Research (ICASSR-2013). Atlantis Press, 2013. http://dx.doi.org/10.2991/icassr.2013.58.

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Luo, Dehan, Danjun Fan, Hao Yu, and Zhimin Li. "A New Processing Technique for the Identification of Chinese Herbal Medicine." In 2013 Fifth International Conference on Computational and Information Sciences (ICCIS). IEEE, 2013. http://dx.doi.org/10.1109/iccis.2013.131.

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Reports on the topic "Chinese herbal medicine"

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Cui, Zhaorui, Yahui Wang, and Yanchen Zhu. Chinese herbal medicine for catheter ablation of atrial fibrillation. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.5.0096.

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Liang, Xingyan, Yu Su, Chunli Lu, and Hongxia Ma. Chinese herbal medicine combined with acupuncture for women with polycystic ovarian syndrome. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2021. http://dx.doi.org/10.37766/inplasy2021.8.0048.

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Xie, Hongliang, Aolin Zhang, Xuan Mou, Chi Chiu Wang, Xiaohui Fan, and Lu Li. Chinese herbal medicine for threatened miscarriage: a systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.6.0107.

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Review question / Objective: To review the therapeutic effects and safety of Chinese herbal medicine for the treatment of threatened miscarriage. Condition being studied: Only Randomized controlled trials with explicit randomization method and compared CHM (alone or in combination with other pharmaceuticals) with placebo, no treatment (including bed rest), or other pharmaceuticals as treatments for threatened miscarriage will be included. Information sources: 1. EMBASE (30 November 2021) 2. MEDLINE (30 November 2021) 3. PubMed (30 November 2021) 4. CENTRAL (30 November 2021) 5. China National Knowledge Infrastructure (CNKI) (30 November 2021) 6. WanFang Database (30 November 2021) 7. VIP database (30 November 2021).
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Ouyang, Shuang, Weihong Li, Peng Yu, et al. Effect of Chinese herbal medicine for patients with benign thyroid nodules in adults. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2020. http://dx.doi.org/10.37766/inplasy2020.12.0093.

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Li, Yingying, Xinying Chen, Zhengduo Liu, and Jinghua Yang. Chinese herbal medicine for children with idiopathic short stature (ISS): a meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.1.0034.

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Shen, Dong, Zhuang Xiong, Yangyang Liu, et al. Efficacy and safety of Chinese herbal medicine combined with Sorafenib in the treatment of primary liver cancer: A protocol for systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2021. http://dx.doi.org/10.37766/inplasy2021.9.0024.

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The aim of this systematic review is to compare Chinese herbal medicine combined with Sorafenib in terms of efficacy and acceptability in the primary liver cancer to better inform clinical practice. To this end, the proposed systematic review will address the following question: Which is the best choice to reduce Efficacy and safety in Patients with primary liver cancer, Chinese herbal medicine combined with Sorafenib or Sorafenib.this systematic review and meta-analysis will evaluate the efficacy and Sorafenib combined with Chinese herbal medicine in the treatment of PLC. Information sources: We will search the following databases from inception up to September 8, 2021: PubMed, Web of Science, Embase, AMED, Cochrane Library, CNKI, VIP, CBM, and Wanfang. There will be no restrictions regarding publication date or language. We will apply a combination of medical keywords and words, including "Sorafenib", "Chinese herbal medicine" and "primary liver cancer". Additionally, we will manually search all reference lists from relevant systematic reviews to find other eligible studies.
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Jiang, Cui, Zhaodi Wang, Shiqing Yuan, Yong Jiang, and Ying Ye. Chinese herbal medicine for immune infertility: A protocol for systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2020. http://dx.doi.org/10.37766/inplasy2020.12.0073.

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Song, Yanan, Haiyan Wang, Lingling Qin, et al. Chinese Herbal Medicine in the Treatment of Prediabetes : A Systematic Review and Meta-Analysis. International Platform of Registered Systematic Review and Meta-analysis Protocols, 2020. http://dx.doi.org/10.37766/inplasy2020.5.0015.

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Tan, Aihua, Yan Hu, Han Yan, Zheng Zhang, Ziyu Song, and Simiao Ran. Efficacy and safety of Chinese Herbal Medicine for Vascular dementia: A protocol of systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.1.0098.

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Review question / Objective: As a common type of clinical dementia, the prevalence rate of vascular dementia(VaD) increased rapidly in recent years, damaging both patients’ health and social-economic prospect. There is currently no effective treatment for VaD, though western medicines can slightly improve patients' cognitive function, but not brought a significant improvement in daily life ability. Chinese herbal medicine(CHM) has been widely employed to treat dementia for more than 2000 years in China. Despite the proliferation of relevant literature, there is still a lack of evidence to prove the effectiveness and safety of such therapy. Therefore, this systematic review and meta-analysis protocol is aimed to assess the efficacy and safety of CHM forVaD. Information sources: 6 English databases (PubMed, Web of Science, Embase, Springer, CENTRAL and WHO International Clinical Trials Registry Platform) and 4 Chinese databases (Wan fang Database, Chinese Scientific Journals Database, China National Knowledge Infrastructure Database and Chinese Biomedical Literature Database).
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Wu, Junsong, Xuefeng Liu, Hejing Liu, et al. Chinese Herbal Medicine Combined with Acupuncture-related therapy as Complementary Therapies for Diabetic Nephropathy: A Protocol for Systematic Review and Network Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.4.0095.

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Review question / Objective: Evaluating the efficacy of various Chinese herbal medicines combined with acupuncture-related therapies in the treatment of diabetic nephropathy. Information sources: We will search the following databases for relevant randomised controlled trials: PubMed, EMBASE, Cochrane Library, Scopus, OVID,Web of Science, Cochrane Central Register of Controlled Trials, China Biology Medicine (CBM), the China National Knowledge Infrastructure (CNKI), Wanfang data, and the Chinese Scientifific Journal Database (VIP). Search until April 10, 2022, with a combination of MeSH terms and free words.
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