2014

Data Analytics for Traditional Chinese Medicine Research

Editors:

ISBN: 978-3-319-03800-1 (Print) 978-3-319-03801-8 (Online)

Table of contents (13 chapters)

  1. Front Matter

    Pages i-xii

  2. No Access

    Book Chapter

    Pages 1-16

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

  3. No Access

    Book Chapter

    Pages 17-38

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

  4. No Access

    Book Chapter

    Pages 39-79

    Medical Diagnosis by Using Machine Learning Techniques

  5. No Access

    Book Chapter

    Pages 81-96

    Network Based Deciphering of the Mechanism of TCM

  6. No Access

    Book Chapter

    Pages 97-109

    Prescription Analysis and Mining

  7. No Access

    Book Chapter

    Pages 111-121

    Statistical Validation of TCM Syndrome Postulates in the Context of Depressive Patients

  8. No Access

    Book Chapter

    Pages 123-132

    Artificial Neural Network Based Chinese Medicine Diagnosis in Decision Support Manner and Herbal Ingredient Discoveries

  9. No Access

    Book Chapter

    Pages 133-153

    Chromatographic Fingerprinting and Chemometric Techniques for Quality Control of Herb Medicines

  10. No Access

    Book Chapter

    Pages 155-172

    A New Methodology for Uncovering the Bioactive Fractions in Herbal Medicine Using the Approach of Quantitative Pattern-Activity Relationship

  11. No Access

    Book Chapter

    Pages 173-188

    An Innovative and Comprehensive Approach in Studying the Complex Synergistic Interactions Among Herbs in Chinese Herbal Formulae

  12. No Access

    Book Chapter

    Pages 189-213

    Data Mining in Real-World Traditional Chinese Medicine Clinical Data Warehouse

  13. No Access

    Book Chapter

    Pages 215-226

    TCM Data Mining and Quality Evaluation with SAPHRONTM System

  14. No Access

    Book Chapter

    Pages 227-248

    An Overview on Evidence-Based Medicine and Medical Informatics in Traditional Chinese Medicine Practice