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Data Analytics for Traditional Chinese Medicine Research

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Cover of 'Data Analytics for Traditional Chinese Medicine Research'

Table of Contents

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    Book Overview
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    Chapter 1 Searching for Evidence in Traditional Chinese Medicine Research: A Review and New Opportunities
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    Chapter 2 Causal Complexities of TCM Prescriptions: Understanding the Underlying Mechanisms of Herbal Formulation
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    Chapter 3 Medical Diagnosis by Using Machine Learning Techniques
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    Chapter 4 Network Based Deciphering of the Mechanism of TCM
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    Chapter 5 Prescription Analysis and Mining
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    Chapter 6 Statistical Validation of TCM Syndrome Postulates in the Context of Depressive Patients
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    Chapter 7 Artificial Neural Network Based Chinese Medicine Diagnosis in Decision Support Manner and Herbal Ingredient Discoveries
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    Chapter 8 Chromatographic Fingerprinting and Chemometric Techniques for Quality Control of Herb Medicines
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    Chapter 9 A New Methodology for Uncovering the Bioactive Fractions in Herbal Medicine Using the Approach of Quantitative Pattern-Activity Relationship
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    Chapter 10 An Innovative and Comprehensive Approach in Studying the Complex Synergistic Interactions Among Herbs in Chinese Herbal Formulae
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    Chapter 11 Data Mining in Real-World Traditional Chinese Medicine Clinical Data Warehouse
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    Chapter 12 TCM Data Mining and Quality Evaluation with SAPHRONTM System
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    Chapter 13 An Overview on Evidence-Based Medicine and Medical Informatics in Traditional Chinese Medicine Practice
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