European Parliament Library

Process mining techniques for managing and improving healthcare systems, Maha Zayoud

Table Of Contents
Cover -- Half Title -- Title Page -- Copyright Page -- Contents -- List of Figures -- List of Tables -- List of Abbreviations -- Acknowledgments -- Preface -- Introduction -- Objectives and Overview -- Chapter 1: Healthcare System -- 1.1. Definition of Healthcare System -- 1.2. Basic Components in Healthcare Systems -- 1.3. Healthcare System Main Issues -- 1.4. State of the Art in the Healthcare System -- 1.5. Healthcare Industry Management System -- 1.6. Conclusion -- Chapter 2: Data Mining and Management Information Systems -- 2.1. Basic Elements of the Management Process -- 2.2. Management Information Systems (MIS) -- 2.3. Management Information Systems and Strategies -- 2.4. Innovating Business Process -- 2.5. The State of the Art of Data Mining (DM) Techniques -- 2.6. Data Mining vs. Process Mining -- 2.7. Data Mining IEEE Algorithms -- 2.8. Process Mining Techniques -- 2.9. Conclusion -- Chapter 3: Process Mining and Big Data in Healthcare -- 3.1. Introduction -- 3.2. Description of Process Mining -- 3.3. Petri Nets -- 3.4. Algorithms Survey -- 3.5. Process Mining Algorithms Selections -- 3.6. Big Data (BD) and Healthcare System -- 3.7. Problems Definitions -- 3.8. Conclusion -- Chapter 4: The Proposed β Algorithm for Healthcare System -- 4.1. Introduction -- 4.2. Process Mining Classifications -- 4.3. Applications of Process Mining Algorithms -- 4.4. Process Mining Challenges -- 4.5. A Differentiation Study on Learning Processes Approaches -- 4.6. Proposed Framework β Algorithm -- 4.7. Prediction toward Knowledge -- 4.8. Applying the β Algorithm in Healthcare -- 4.9. Learning Events Probabilities -- 4.10. Petri Nets of the β Algorithm -- 4.11. Data Manipulation -- 4.12. Basic Outlines of β Algorithm -- 4.13. Conclusion -- Chapter 5: Building a Hospital Management Platform -- 5.1. "MYL" Platform Overview
Language
eng
Literary Form
non fiction
Copyright
Physical Description
1 online resource (215 pages)
Specific Material Designation
remote
Form Of Item
online
Isbn
9780100089853

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