Information Storage and Retrieval

Publication Title: 
Journal of Alternative and Complementary Medicine (New York, N.Y.)

BACKGROUND: Traditional Chinese Medical (TCM) journals have been playing an important role in scholarly communication in China. However, the information in those periodicals was not enough for international readers. OBJECTIVE: This study aims to provide an overview of TCM journals in China. METHODS: TCM journals currently published in mainland China were identified from Chinese databases and journal subscription catalogs.

Author(s): 
Fan, Wei-Yu
Tong, Yuan-yuan
Pan, Yan-Li
Shang, Wen-Ling
Shen, Jia-Yi
Li, Wei
Li, Li-Jun
Publication Title: 
Journal of Biomedical Informatics

As a form of important domain knowledge, large-scale ontologies play a critical role in building a large variety of knowledge-based systems. To overcome the problem of semantic heterogeneity and encode domain knowledge in reusable format, a large-scale and well-defined ontology is also required in the traditional Chinese medicine discipline. We argue that to meet the on-demand and scalability requirement ontology-based systems should go beyond the use of static ontology and be able to self-evolve and specialize for the domain knowledge they possess.

Author(s): 
Mao, Yuxin
Wu, Zhaohui
Tian, Wenya
Jiang, Xiaohong
Cheung, William K.
Publication Title: 
BMC complementary and alternative medicine

BACKGROUND: Traditional Chinese Medicine (TCM), a complementary and alternative medical system in Western countries, has been used to treat various diseases over thousands of years in East Asian countries. In recent years, many herbal medicines were found to exhibit a variety of effects through regulating a wide range of gene expressions or protein activities. As available TCM data continue to accumulate rapidly, an urgent need for exploring these resources systematically is imperative, so as to effectively utilize the large volume of literature.

Author(s): 
Fang, Yu-Ching
Huang, Hsuan-Cheng
Chen, Hsin-Hsi
Juan, Hsueh-Fen
Publication Title: 
Nucleic Acids Research

Most human diseases are complex multi-factorial diseases resulting from the combination of various genetic and environmental factors. In the KEGG database resource (http://www.genome.jp/kegg/), diseases are viewed as perturbed states of the molecular system, and drugs as perturbants to the molecular system. Disease information is computerized in two forms: pathway maps and gene/molecule lists. The KEGG PATHWAY database contains pathway maps for the molecular systems in both normal and perturbed states.

Author(s): 
Kanehisa, Minoru
Goto, Susumu
Furumichi, Miho
Tanabe, Mao
Hirakawa, Mika
Publication Title: 
Zhong Xi Yi Jie He Xue Bao = Journal of Chinese Integrative Medicine

BACKGROUND: Chaihu Injection (CI), which is widely used in treatment of febrile diseases, is an aqueous solution of Chaihu (Radix Bupleuri Chinensis) or Nanchaihu (Radix Bupleuri Scorzonerifolii) prepared by steam distillation. OBJECTIVE: This study aims at finding out the possible causes for adverse drug reaction or adverse event (ADR/AE) caused by CI and assessing its safety based on existing evidence. SEARCH STRATEGY: Manual search was not conducted. Electronic search was conducted by two authors in China National Knowledge Internet (CNKI) database and Chongqing VIP database (VIP).

Author(s): 
Kong, Xiang-yu
Hao, Yuan
Wu, Tai-xiang
Xie, Yan-ming
Publication Title: 
Journal of Alternative and Complementary Medicine (New York, N.Y.)

OBJECTIVES: This review evaluates and compares published collections of the traditional literature on Traditional Chinese Medicine in terms of their scope and utility as resources for systematic searches for information of relevance to traditional evidence, clinical research, and drug discovery. METHODS: Published collections of books and compilation works that contain substantial samples of traditional literature on Chinese herbal medicine were located via internet, library, and bookshop searches. These sources were compared in terms of scope, size, content, and ease of searching.

Author(s): 
May, Brian H.
Lu, Chuanjian
Xue, Charlie C. L.
Publication Title: 
Journal of Traditional Chinese Medicine = Chung I Tsa Chih Ying Wen Pan / Sponsored by All-China Association of Traditional Chinese Medicine, Academy of Traditional Chinese Medicine

OBJECTIVE: To design a model to capture information on the state and trends of knowledge creation, at both an individual and an organizational level, in order to enhance knowledge management. METHODS: We designed a graph-theoretic knowledge model, the expert knowledge map (EKM), based on literature-based annotation. A case study in the domain of Traditional Chinese Medicine research was used to illustrate the usefulness of the model.

Author(s): 
Cui, Meng
Yang, Shuo
Yu, Tong
Yang, Ce
Gao, Yonghong
Zhu, Haiyan
Publication Title: 
Journal of Applied Biomechanics

The current means of locating specific movements in film necessitate hours of viewing, making the task of conducting research into movement characteristics and patterns tedious and difficult. This is particularly problematic for the research and analysis of complex movement systems such as sports and dance. While some systems have been developed to manually annotate film, to date no automated way of identifying complex, full body movement exists.

Author(s): 
Simpson, Travis T.
Wiesner, Susan L.
Bennett, Bradford C.
Publication Title: 
Journal of Alternative and Complementary Medicine (New York, N.Y.)

BACKGROUND: With increasing frequency, patients with cancer and their family members are turning to the Internet to educate themselves about their disease and treatment options, including complementary and alternative medicine (CAM) and supportive care. However, very little is known about how national leading cancer centers represent these therapies via their websites. METHODS: Simulating the perspective of an information-seeking patient or family member, we performed a systematic analysis of the websites of 41 National Cancer Institute designated comprehensive cancer centers.

Author(s): 
Brauer, Jeremy A.
El Sehamy, Adam
Metz, James M.
Mao, Jun J.

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