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Handbook on Intelligent Healthcare Analytics
Читать книгу Handbook on Intelligent Healthcare Analytics - Группа авторов - Страница 1
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Страница 1
Table of Contents
List of Illustrations
List of Tables
Guide
Pages
Страница 7
Страница 8
Страница 9
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Страница 11
1
An Introduction to Knowledge Engineering and Data Analytics
1.1 Introduction 1.1.1 Online Learning and Fragmented Learning Modeling
1.2 Knowledge and Knowledge Engineering 1.2.1 Knowledge
1.2.2 Knowledge Engineering
1.3 Knowledge Engineering as a Modelling Process
1.4 Tools
1.5 What are KBSs?
1.5.1 What is KBE?
1.5.2 When Can KBE Be Used?
1.5.3 CAD or KBE?
1.6 Guided Random Search and Network Techniques
1.6.1 Guide Random Search Techniques
1.7 Genetic Algorithms
1.7.1 Design Point Data Structure
1.7.2 Fitness Function
1.7.3 Constraints
1.7.4 Hybrid Algorithms
1.7.5 Considerations When Using a GA
1.7.6 Alternative to Genetic-Inspired Creation of Children
1.7.7 Alternatives to GA
1.7.8 Closing Remarks for GA
1.8 Artificial Neural Networks
1.9 Conclusion
References
Страница 36
2
A Framework for Big Data Knowledge Engineering
2.1 Introduction
2.1.1 Knowledge Engineering in AI and Its Techniques
2.1.1.1 Supervised Model
2.1.1.2 Unsupervised Model
2.1.1.3 Deep Learning
2.1.1.4 Deep Reinforcement Learning
2.1.1.5 Optimization
2.1.2 Disaster Management
2.2 Big Data in Knowledge Engineering
2.2.1 Cognitive Tasks for Time Series Sequential Data
2.2.2 Neural Network for Analyzing the Weather Forecasting
2.2.3 Improved Bayesian Hidden Markov Frameworks
2.3 Proposed System
2.4 Results and Discussion
2.5 Conclusion
References
Страница 54
3
Big Data Knowledge System in Healthcare
3.1 Introduction
3.2 Overview of Big Data 3.2.1 Big Data: Definition
3.2.2 Big Data: Characteristics
3.3 Big Data Tools and Techniques 3.3.1 Big Data Value Chain
Production of big data from various sources
Big Data Collection
Big Data Transmission
Big Data Pre-Processing
Big Data Storage
Big Data Analysis
3.3.2 Big Data Tools and Techniques
3.4 Big Data Knowledge System in Healthcare
3.4.1 Sources of Medical Big Data
Internet of Things
Electronic Medical Records and Electronic Health Records
3.4.2 Knowledge in Healthcare
3.4.3 Big Data Knowledge Management Systems in Healthcare
3.4.4 Big Data Analytics in Healthcare
3.5 Big Data Applications in the Healthcare Sector
3.5.1 Real Time Healthcare Monitoring and Altering
3.5.2 Early Disease Prediction with Big Data
3.5.3 Patients Predictions for Improved Staffing
3.5.4 Medical Imaging
3.6 Challenges with Healthcare Big Data 3.6.1 Challenges of Big Data
3.6.2 Challenges of Healthcare Big Data
Data Capturing
Data Cleaning
Data Storage
Data Security
Lack of Integration between Administrative Data and Clinical System
Data Sharing
Data Updating
3.7 Conclusion
References
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