Suchergebnisse

Cover -- Half Title -- Advance Reviews -- Title Page -- Copyright Page -- Dedications -- Table of Contents -- Dedications -- Preface -- Acknowledgments -- About the Authors -- About the Contributors -- Chapter One: Introduction -- 1.1 The Case for Leveraging Big Data Now -- 1.2 Business and Clinical Intelligence, Analytics, and Big Data-An Evolutionary Perspective -- 1.3 Conclusion -- Chapter Two: Healthcare and the Big Data V's -- 2.1 Introduction -- 2.2 Big Data and the V's: A Primer -- 2.3 Sources of Big Data in Healthcare -- 2.4 Two More V's that Matter in Healthcare -- 2.5 How to Use Big Data -- 2.6 Summary -- Chapter Three: Big Data-How to Get Started -- 3.1 Getting Started Within Your Organization -- 3.2 Assessing Environmental and Organizational Readiness -- 3.3 Data and Use Cases -- 3.4 Effects of Organizational Structure -- 3.5 Conclusion -- Chapter Four: Big Data-Challenges -- 4.1 Building Your Strategy -- 4.2 The Need for Data Governance -- 4.3 Role of Master Data Management -- 4.4 The Skills Gap -- 4.5 Conclusion -- Chapter Five: Best Practices: Separating Myth from Realty -- 5.1 Debunking Common Myths -- 5.2 Best Practices -- 5.3 Conclusion -- Chapter Six: Big Data Advanced Topics -- 6.1 The NLP Toolbox -- 6.2 Healthcare Use Cases -- 6.3 The Knowledge-Enabled Organization -- 6.4 Knowledge Management and the Learning Organization -- 6.5 Building the Knowledge-Enabled Healthcare Organization -- Chapter Seven: Applied Machine Learning for Healthcare -- 7.1 Introduction -- 7.2 Chapter Overview -- 7.3 A Brief History -- 7.4 What's Different About Machine Learning Today? -- 7.5 How Do Machines Reason and Learn: A Crash Course in Learning Algorithms -- 7.6 Mastering the Basics of Machine Learning -- 7.7 Artificial Neural Networks: An Overview -- 7.8 Deep Learning -- 7.9 A Guided Tour of Machine-Learning Algorithms in Healthcare