现代计算技术与中医药信息处理

目 录内容简介
Preface
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 Clunese 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
1.3.3 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 Clunese 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-BootstrappingMethod
2.4.2 Relation Weight Computing
2.5 MeDisco/3SSystem
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 Clunese 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 FrequencyComputing
3.4 Application to Prescription Compatibility Structure Detection
3.4.1 Motifs Detection Results
3.4.2 PerformanceAnalysis
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 RepresentationConsistency
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 HandlingCompleteness
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
5.3.2 Service Operator Organization
5.3.3 Userlnteraction and Visualization
5.4 Case Studies
5.4.1 Case 1: Domain-Driven KDD Support for TCM
5.4.2 Case 2: Data Mining Based on Distributed Resources
5.4.3 Case 3: Data Mining Process as a Service
5.5 Conclusions
……
6 Semantic E-Science for Traditional Clunese Medicine
7 Ontology Development for Unified Traditional Chinese Medical Language System
8 Causal Knowledge Modeling for Traditional Chinese Medicine Using OWL 2
9 Dynamic Subontology 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 Relationship Discovery from Traditional Chinese Medical Literature
13 Deriving Similarity Graphs from Traditional Chinese Medicine Linked Data on the Semantic Web
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 Clunese 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
1.3.3 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 Clunese 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-BootstrappingMethod
2.4.2 Relation Weight Computing
2.5 MeDisco/3SSystem
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 Clunese 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 FrequencyComputing
3.4 Application to Prescription Compatibility Structure Detection
3.4.1 Motifs Detection Results
3.4.2 PerformanceAnalysis
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 RepresentationConsistency
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 HandlingCompleteness
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
5.3.2 Service Operator Organization
5.3.3 Userlnteraction and Visualization
5.4 Case Studies
5.4.1 Case 1: Domain-Driven KDD Support for TCM
5.4.2 Case 2: Data Mining Based on Distributed Resources
5.4.3 Case 3: Data Mining Process as a Service
5.5 Conclusions
……
6 Semantic E-Science for Traditional Clunese Medicine
7 Ontology Development for Unified Traditional Chinese Medical Language System
8 Causal Knowledge Modeling for Traditional Chinese Medicine Using OWL 2
9 Dynamic Subontology 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 Relationship Discovery from Traditional Chinese Medical Literature
13 Deriving Similarity Graphs from Traditional Chinese Medicine Linked Data on the Semantic Web
目 录内容简介
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