Applications of Big Data in Healthcare Theory and Practice
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Form:Einzelkauf Download
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Sprache:Englisch
148,00 €
inkl. gesetzl. MwSt.Beschreibung
Produktdetails
Format
ePUB 3
Kopierschutz
Nein
Family Sharing
Nein
Text-to-Speech
Ja
Erscheinungsdatum
10.03.2021
Herausgeber
Ashish Khanna + weitereVerlag
Elsevier Science & Techn.Seitenzahl
310 (Printausgabe)
Dateigröße
17235 KB
Sprache
Englisch
EAN
9780128204511
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
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
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