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    Modern Computational Approaches to Traditional Chinese Medicine

    ISBN-10: 0123985102
    ISBN-13: 9780123985101
    Author(s): Zhaohui Wu, Xiaohong Jiang, Huajun Chen
    Description: Recognized as an essential component of Chinese culture, Traditional Chinese Medicine (TCM) is both an ancient medical system and one still used widely in China today. TCM's independently evolved knowledge system is expressed mainly in the Chinese  More...
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    List Price: $95.00
    Publisher: Elsevier
    Binding: Hardcover
    Pages: 250
    Size: 6.00" wide x 9.00" long x 0.75" tall
    Weight: 1.188
    Language: English

    Recognized as an essential component of Chinese culture, Traditional Chinese Medicine (TCM) is both an ancient medical system and one still used widely in China today. TCM's independently evolved knowledge system is expressed mainly in the Chinese language and the information is frequently only available through ancient classics and confidential family records, making it difficult to utilize. The major concern in TCM is how to consolidate and integrate the data, enabling efficient retrieval and discovery of novel knowledge from the dispersed data. Computational approaches such as data mining, semantic reasoning and computational intelligence have emerged as innovative approaches for the reservation and utilization of this knowledge system. Typically, this requires an inter-disciplinary approach involving Chinese culture, computer science, modern healthcare and life sciences. This book examines the computerization of TCM information and knowledge to provide intelligent resources and supporting evidences for clinical decision-making, drug discovery, and education. Recent research results from the Traditional Chinese Medicine Informatics Group of Zhejiang University are presented, gathering in one resource systematic approaches for massive data processing in TCM. These include the utilization of modern Semantic Web and data mining methods for more advanced data integration, data analysis and integrative knowledge discovery. This book will appeal to medical professionals, life sciences students, computer scientists, and those interested in integrative, complementary, and alternative medicine. Interdisciplinary book bringing together Traditional Chinese Medicine and computer scientistsIntroduces novel network technologies to Traditional Chinese Medicine informaticsProvides theory and practical examples and case studies of new techniques

    Department of Computer Science, Zhejiang University, Hangzhou, China

    Overview on Knowledge Discovery in Traditional Chinese Medicine
    Integrative Mining of Traditional Chinese Medicine Literature and MEDLINE for Functional Gene Networks
    MapReduce-based Network Motif Detection for Traditional Chinese Medicine
    Data Quality for Knowledge Discovery in Traditional Chinese Medicine
    Service-oriented Data Mining in Traditional Chinese Medicine
    Semantic E-Science for Traditional Chinese Medicine
    Ontology Development for Unified Traditional Chinese Medical Language System
    Causal Knowledge Modeling for Traditional Chinese Medicine Using OWL
    Dynamic Sub-ontology Evolution for Traditional Chinese Medicine Web Ontology
    Semantic Association Mining for Traditional Chinese Medicine
    Semantic-based Database Integration for Traditional Chinese Medicine
    Probabilistic Semantic Relation Discovery from Traditional Chinese Medical Literatures
    Deriving Similarity Graphs from Traditional Chinese Medicine Linked Data on Semantic Web

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