Applications of Big Data in Healthcare: Theory and Practice

Applications of Big Data in Healthcare: Theory and Practice begins with the basics of Big Data analysis and introduces the tools, processes and procedures associated with Big Data analytics. It unites healthcare with Big Data analysis and uses the advantages of the latter to solve the problems faced by the former. The authors present the challenges faced by the healthcare industry, including capturing, storing, searching, sharing, and analyzing data. The authors then shed light on the reasons for the growing abundance and complexity of data in this sector. The applications of Big Data have grown tremendously within the past few years and its growth can not only be attributed to its competence to handle large data streams but also to its abilities to find insights from complex, noisy, heterogeneous, longitudinal, and voluminous data. The main objectives of Big Data in this sector is to come up with ways to provide personalized healthcare to patients by taking into account the enormous amounts of already existing data. Applications of Big Data in Healthcare illustrates the challenges in the applications of Big Data and suggests ways to overcome them. The primary emphasis of this book is to introduce healthcare data repositories, challenges, and concepts to data scientists, engineers, and clinicians. Provides case studies that illustrate the business processes underlying the use of big data and health analytics to improve health care deliverySupplies readers with a foundation for further specialized study in clinical analysis and data managementIncludes links to websites, videos, articles, and other online content to expand and support the primary learning objectives for each major section of the book INDICE: Part 1: Big Data Analysis and Health Care: An Introduction 1. Data Analysis in Health Care: Issue and Challenges 2. Data and its Nature 3. Big Data Analysis: Applications in Healthcare Part 2: Big Data Analysis Techniques 4. Big Data Analysis: Theory and Basic Tools 5. Algorithms in Big Data Analysis 6. Big Data Analysis Applications 7. Future Scope and Development Part 3: Big Data Analysis in Healthcare 8. Issues and Present Situations: A case Study 9. Database and Management 10. Techniques for Healthcare 11. Search Architectures 12. Scalability and Efficiency Analysis

• ISBN: 978-0-12-820203-6
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 332
• Fecha Publicación: 01/02/2021
• Nº Volúmenes: 1
• Idioma: Inglés