Applications of Big Data in Healthcare (eBook)

Theory and Practice

Nilanjan Dey, Deepak Gupta, Ashish Khanna (Herausgeber)

eBook Download: PDF | EPUB

2021 | 1. Auflage
310 Seiten
Elsevier Science (Verlag)
978-0-12-820451-1 (ISBN)

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. The book 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. This book illustrates the challenges in the applications of Big Data and suggests ways to overcome them, with a primary emphasis on data repositories, challenges, and concepts for data scientists, engineers and clinicians. 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 the healthcare sector is to come up with ways to provide personalized healthcare to patients by taking into account the enormous amounts of already existing data. - Provides case studies that illustrate the business processes underlying the use of big data and deep learning health analytics to improve health care delivery - Supplies readers with a foundation for further specialized study in clinical analysis and data management - Includes links to websites, videos, articles and other online content to expand and support the primary learning objectives for each major section of the book

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. The book 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. This book illustrates the challenges in the applications of Big Data and suggests ways to overcome them, with a primary emphasis on data repositories, challenges, and concepts for data scientists, engineers and clinicians. 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 the healthcare sector is to come up with ways to provide personalized healthcare to patients by taking into account the enormous amounts of already existing data. - Provides case studies that illustrate the business processes underlying the use of big data and deep learning health analytics to improve health care delivery- Supplies readers with a foundation for further specialized study in clinical analysis and data management- Includes links to websites, videos, articles and other online content to expand and support the primary learning objectives for each major section of the book

Erscheint lt. Verlag	10.3.2021
Sprache	englisch
Themenwelt	Medizin / Pharmazie ► Pflege
	Medizin / Pharmazie ► Physiotherapie / Ergotherapie ► Orthopädie
	Naturwissenschaften ► Biologie
	Technik ► Medizintechnik
	Technik ► Umwelttechnik / Biotechnologie
ISBN-10	0-12-820451-6 / 0128204516
ISBN-13	978-0-12-820451-1 / 9780128204511

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