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Diagnostics Of Traditional Chinese Medicine


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Diabetes mellitus (DM) was one of the most severe public health problems that affected nearly 463 million adults around the world. In addition to insulin and oral hypoglycemic agents, traditional Chinese medicine (TCM) was an effective alternative therapy for diabetes and its complications, and it had been widely used in the Pan-Pacific region, especially in Southeast Asia, however, TCM lacked specialized standards of care for DM in the past, which limited the TCM clinical efficacy of diabetes. Since March 2017, the Endocrinology Committee of World Federation of Chinese Medicine Societies (WFCMS) had invited experts in diabetes, TCM, and international standard setting to work with TCM endocrinologists from the Guideline Development Committee to review the TCM clinical research evidence related to the prevention and treatment of diabetes over the previous 14 years. Over an 8-months careful revision, the international TCM guideline was finally developed under the guidance of review experts, physicians and surveyed patients, to provide standardized diagnosis and treatment advice of diabetes for global TCM doctors. This guideline clarified the TCM classification, staging, and syndromes of diabetes, gave the instructions that how to identified different stages and syndromes clearly, and accordingly recommended different TCM therapies based on the level of evidence. It's worth noting that when the guideline was being made, fewer high-quality clinical research evidence could be found, and very few researches were so outdated that need to be updated. More high-quality research evidence would be included in the updated version of guideline to continuously improve the overall level of global TCM in preventing and treating diabetes, and long-term clinical researches were advocated.


Mortality of severe sepsis and septic shock remains elevated despite progress in therapy [1]. Diagnostic methods reliably identifying patients with a higher risk of death are urgently needed in order to provide timely treatment and improve cost-efficacy of intensive care [2]. Since reliable concepts and accurate measurements to rate mortality risk and stratify severity of septic patients are insufficient [3, 4], a classification system named PIRO was developed to stratify patients on the basis of their predisposition, the nature and extent of insult/infection, nature and magnitude of response, and degree of concomitant organ dysfunction [5, 6]. Multiple host and pathogen-associated characteristics are utilized in this system to predict outcome. Similar diagnostic concepts also exist in traditional Chinese medicine (TCM) Zheng diagnosis.


Results: A data set consisting of 22,984 electronic health records from Guanganmen Hospital of the China Academy of Chinese Medical Sciences that were collected between January 1, 2017 and September 7, 2018 was used. The data set contained a total of 187 diseases that are commonly diagnosed in traditional Chinese medicine. The diagnostic system was designed to be able to detect any one of the 187 disease-types. The data set was partitioned into a training set, a validation set, and a testing set in a ratio of 8:1:1. Test results suggested that the proposed system had a good diagnostic accuracy and a strong capability for generalization. The disease-type prediction accuracies of the top one, top three, and top five were 80.5%, 91.6%, and 94.2%, respectively.


Originating over 5,000 years ago, traditional Chinese medicine is a healing system that is rooted in the ancient philosophy of Taoism that encompasses many different practices, including acupuncture, acupressure, cupping, Chinese herbal medicine, tui na, dietary therapy, tai chi and qi gong.


Originating over 5,000 years ago, traditional Chinese medicine (TCM) is a healing system that is rooted in the ancient philosophy of Taoism. TCM encompasses many different practices, including acupuncture, acupressure, cupping, Chinese herbal medicine, tui na (Chinese therapeutic ma




https://www.emergethemagazine.com/group/emerge-fitness-club/discussion/b3962572-e49a-4998-8e0a-976ad2495015

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