Modern computational approaches to traditional chinese medicine /

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Wu, Zhaohui, Chen, Huajun, Jiang, Xiaohong
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [Place of publication not identified] : Elsevier, 2012.
Colección:Elsevier insights.
Temas:
Medicine, Chinese > Data processing.
Medicine, Chinese.
Medicine, Chinese Traditional
Medicine > Data processing.
M�edecine chinoise > Informatique.
M�edecine chinoise.
MEDICAL > History.
Medicine, Chinese
Medicine, Chinese > Data processing
Internet Resources.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Modern Computational Approaches To Traditional Chinese Medicine
  • Copyright Page
  • 1. Overview of Knowledge Discovery in Traditional Chinese Medicine
  • 1.1. Introduction
  • 1.2. The State of the Art of TCM Data Resources
  • 1.2.1. Traditional Chinese Medical Literature Analysis and Retrieval System
  • 1.2.2. Figures and Photographs of Traditional Chinese Drug Database
  • 1.2.3. Database of Chinese Medical Formulae
  • 1.2.4. Database of Chemical Composition from Chinese Herbal Medicine
  • 1.2.5. Clinical Medicine Database.
  • 1.2.6. TCM Electronic Medical Record Database
  • 1.3. Review of KDTCM Research
  • 1.3.1. Knowledge Discovery for CMF Research
  • 1.3.2. Knowledge Discovery for CHM Research
  • 1.3.2. 1 KDD for the Research of CHM Characteristics
  • 1.3.2. 2 KDD for the Research of CHM Chemical Compositions
  • 1.3.3. Knowledge Discovery for Research of TCM Syndrome
  • 1.3.4. Knowledge Discovery for TCM Clinical Diagnosis
  • 1.4. Discussions and Future Directions
  • 1.5. Conclusions
  • 2. Integrative Mining of Traditional Chinese Medicine Literature and MEDLINE for Functional Gene Networks
  • 2.1. Introduction.
  • 2.2. Connecting TCM Syndrome to Modern Biomedicine by Integrative Literature Mining
  • 2.3. Related Work on Biomedical Literature Mining
  • 2.4. Name Entity and Relation Extraction Methods
  • 2.4.1. Bubble-Bootstrapping Method
  • 2.4.1. 1 Pattern Definition
  • 2.4.1. 2 Bubble-Bootstrapping Algorithm
  • 2.4.2. Relation Weight Computing
  • 2.5. MeDisco/3S System
  • 2.6. Results
  • 2.6.1. Functional Gene Networks
  • 2.6.2. Functional Analysis of Genes from Syndrome Perspective
  • 2.7. Conclusions
  • 3. MapReduce-Based Network Motif Detection for Traditional Chinese Medicine
  • 3.1. Introduction
  • 3.2. Related Work.
  • 3.3. MapReduce-Based Pattern Finding
  • 3.3.1. MRPF Framework
  • 3.3.2. Neighbor Vertices Finding and Pattern Initialization
  • 3.3.3. Pattern Extension
  • 3.3.4. Frequency Computing
  • 3.4. Application to Prescription Compatibility Structure Detection
  • 3.4.1. Motifs Detection Results
  • 3.4.2. Performance Analysis
  • 3.5. Conclusions
  • 4. Data Quality for Knowledge Discovery in Traditional Chinese Medicine
  • 4.1. Introduction
  • 4.2. Key Data Quality Dimensions in TCM
  • 4.2.1. Representation Granularity
  • 4.2.2. Representation Consistency
  • 4.2.3. Completeness
  • 4.3. Methods to Handle Data Quality Problems.
  • 4.3.1. Handling Representation Granularity
  • 4.3.2. Handling Representation Consistency
  • 4.3.3. Handling Completeness
  • 4.4. Conclusions
  • 5. Service-Oriented Data Mining in Traditional Chinese Medicine
  • 5.1. Introduction
  • 5.2. Related Work
  • 5.2.1. Traditional Data Mining Software
  • 5.2.2. Data Mining Systems for Specific Field
  • 5.2.3. Distributed Data Mining Platform
  • 5.2.4. The Spora Demo
  • 5.3. System Architecture and Data Mining Service
  • 5.3.1. Hierarchical Structure
  • 5.3.1. 1 Resource Layer
  • 5.3.1. 2 Component Layer
  • 5.3.1. 3 Service Layer
  • 5.3.1. 4 Application Layer.
  • 5.3.2. Service Operator Organization.

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