Modern Computational Approaches to Traditional Chinese Medicine

This book introduces computational methods to effectively understand and utilize traditional Chinese medicine

Zhaohui Wu (Edited by), Huajun Chen (Edited by), Xiaohong Jiang (Edited by)

9780323282727

Paperback, published 16 July 2012

0 pages
22.9 x 15.1 x 0.2 cm, 0.45 kg

"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...This book will appeal to medical professionals, life sciences students, computer scientists, and those interested in integrative, complementary, and alternative medicine."--Zentralblatt MATH 1286-1

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.

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

Subject Areas: Computer science [UY], Complementary medicine [MX], Pharmacology [MMG]