Intro
Preface
Contents
Chapter 1: Defining Knowledge Technology and Systems
1.1 Knowledge Technology and Challenges
1.1.1 Defining Knowledge Technology
1.1.1.1 A Value Creation Spiral Model
1.1.1.2 Principles of Providing Action Guidelines
1.1.1.2.1 Multimedia Principle
1.1.1.2.2 Intervention Principle
1.1.1.2.3 Emergence Principle
1.1.1.2.4 Evolutionary Falsification Principle
1.1.1.3 Goals of Respective Processes
1.1.1.3.1 Completeness
1.1.1.3.2 Logicality
1.1.1.3.3 Novelty
1.1.1.3.4 Usefulness

1.1.2 Challenges in Developing Knowledge Technology
1.1.2.1 Challenges in Converting Data/Knowledge into Information
1.1.2.1.1 Converting Data into Information
1.1.2.1.2 Converting Knowledge into Information
1.1.2.2 Challenges in Converting Information into Knowledge
1.1.2.2.1 Utilizing Well-Established Rational Analysis Methods
1.1.2.2.2 Utilizing the Cultivated Intuition of People
1.1.2.3 Challenges in Creating Ideas from the Knowledge
1.1.2.3.1 Creating New Ideas Through the Systematization of Knowledge
1.1.2.3.2 Creating New Ideas with Creative Technologies

1.1.2.4 Challenges in Validating the Value of Ideas
1.1.2.4.1 Justifying and Promoting the Ideas
1.1.2.4.2 Implementing the Ideas and Verifying the Value
1.2 Knowledge Systems and Challenges
1.2.1 Defining Knowledge Systems
1.2.1.1 Systems Managing and Creating Knowledge
1.2.1.2 Knowledge Systems Engineering
1.2.1.2.1 Knowledge Gathering and Capture (Corresponding to Observation)
1.2.1.2.2 Knowledge Discovery and Creation (Corresponding to Understanding)
1.2.1.2.3 Knowledge Sharing and Exchange (Corresponding to Emergence)

1.2.1.2.4 Knowledge Integration and Application (Corresponding to Implementation)
1.2.2 Challenges in Developing Knowledge Systems
1.2.2.1 Meta-Synthesis Systems Approach
1.2.2.1.1 Expert Meeting
1.2.2.1.2 Analysis
1.2.2.1.3 Synthesis
1.2.2.1.4 Evaluation Meeting
1.2.2.2 Critical Systems Thinking and Practice
1.2.2.3 Developing a Methodology for Building Knowledge Systems
1.2.2.3.1 (P1) Planning
1.2.2.3.2 (M1) Observation
1.2.2.3.3 (P2) Analysis
1.2.2.3.4 (M2) Understanding
1.2.2.3.5 (P3) Ideation
1.2.2.3.6 (M3) Emergence
1.2.2.3.7 (P4) Synthesis

1.2.2.3.8 (M4) Implementation
1.2.2.3.9 (P5) Evaluation
References
Chapter 2: Big Data Analytics in Healthcare
2.1 Big Data-Driven Paradigm
2.1.1 The Research Background of Big Data Analytics in Healthcare
2.1.2 The Research Framework of Big Data Analytics in Healthcare
2.1.3 Analysis of Clinical Diagnosis and Treatment Process
2.1.4 The Literature Summary of Diagnosis-Treatment Pattern Mining
2.1.4.1 The Related Work of Unifying Diagnosis (UD)
2.1.4.2 The Related Work of Clinical Pathway (CP)
2.1.4.3 The Related Work of Rational Drug Use