Data Analytics for Traditional Chinese Medicine Research

Editors: Poon, Josiah, K. Poon, Simon (Eds.)

  • Presents a data analytic approach for an efficient way to analyze the data, to find useful patterns, to generate and validate hypothesis
  • Offers data mining researchers a new domain of study, an area which sits on a wealth of data untouched for development of new algorithms to address the specific nature of this field
  • Provides the biostatistics community and health practitioners a means to analyze Traditional Chinese Medicine (TCM)
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eBook $84.99
price for USA (gross)
  • ISBN 978-3-319-03801-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $109.00
price for USA
  • ISBN 978-3-319-03800-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $109.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: October 21, 2016
  • ISBN 978-3-319-34629-8
  • Free shipping for individuals worldwide
About this book

This contributed volume explores how data mining, machine learning, and similar statistical techniques can analyze the types of problems arising from Traditional Chinese Medicine (TCM) research. The book focuses on the study of clinical data and the analysis of herbal data. Challenges addressed include diagnosis, prescription analysis, ingredient discoveries, network based mechanism deciphering, pattern-activity relationships, and medical informatics. Each author demonstrates how they made use of machine learning, data mining, statistics and other analytic techniques to resolve their research challenges, how successful if these techniques were applied, any insight noted and how these insights define the most appropriate future work to be carried out. Readers are given an opportunity to understand the complexity of diagnosis and treatment decision, the difficulty of modeling of efficacy in terms of herbs, the identification of constituent compounds in an herb, the relationship between these compounds and biological outcome so that evidence-based predictions can be made. Drawing on a wide range of experienced contributors, Data Analytics for Traditional Chinese Medicine Research is a valuable reference for professionals and researchers working in health informatics and data mining. The techniques are also useful for biostatisticians and health practitioners interested in traditional medicine and data analytics.

Table of contents (13 chapters)

  • Searching for Evidence in Traditional Chinese Medicine Research: A Review and New Opportunities

    Poon, Simon K. (et al.)

    Pages 1-16

  • Causal Complexities of TCM Prescriptions: Understanding the Underlying Mechanisms of Herbal Formulation

    Poon, Simon K. (et al.)

    Pages 17-38

  • Medical Diagnosis by Using Machine Learning Techniques

    You, Mingyu (et al.)

    Pages 39-79

  • Network Based Deciphering of the Mechanism of TCM

    Sun, Yi (et al.)

    Pages 81-96

  • Prescription Analysis and Mining

    Zheng, Guang (et al.)

    Pages 97-109

Buy this book

eBook $84.99
price for USA (gross)
  • ISBN 978-3-319-03801-8
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $109.00
price for USA
  • ISBN 978-3-319-03800-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $109.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: October 21, 2016
  • ISBN 978-3-319-34629-8
  • Free shipping for individuals worldwide
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Bibliographic Information

Bibliographic Information
Book Title
Data Analytics for Traditional Chinese Medicine Research
Editors
  • Josiah Poon
  • Simon K. Poon
Copyright
2014
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-03801-8
DOI
10.1007/978-3-319-03801-8
Hardcover ISBN
978-3-319-03800-1
Softcover ISBN
978-3-319-34629-8
Edition Number
1
Number of Pages
XII, 248
Number of Illustrations and Tables
14 b/w illustrations, 45 illustrations in colour
Topics