Applications of Big Data in Healthcare Book

Applications of Big Data in Healthcare


  • Author : Ashish Khanna
  • Publisher : Academic Press
  • Release Date : 2021-03-10
  • Genre: Science
  • Pages : 310
  • ISBN 10 : 9780128204511
  • Total Read : 73
  • File Size : 9,5 Mb

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Applications of Big Data in Healthcare Summary:

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

Big Data Analytics in Healthcare Book

Big Data Analytics in Healthcare


  • Author : Anand J. Kulkarni
  • Publisher : Springer Nature
  • Release Date : 2019-10-01
  • Genre: Technology & Engineering
  • Pages : 187
  • ISBN 10 : 9783030316723
  • Total Read : 83
  • File Size : 6,9 Mb

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Big Data Analytics in Healthcare Summary:

This book includes state-of-the-art discussions on various issues and aspects of the implementation, testing, validation, and application of big data in the context of healthcare. The concept of big data is revolutionary, both from a technological and societal well-being standpoint. This book provides a comprehensive reference guide for engineers, scientists, and students studying/involved in the development of big data tools in the areas of healthcare and medicine. It also features a multifaceted and state-of-the-art literature review on healthcare data, its modalities, complexities, and methodologies, along with mathematical formulations. The book is divided into two main sections, the first of which discusses the challenges and opportunities associated with the implementation of big data in the healthcare sector. In turn, the second addresses the mathematical modeling of healthcare problems, as well as current and potential future big data applications and platforms.

Big Data Analytics for Intelligent Healthcare Management Book

Big Data Analytics for Intelligent Healthcare Management


  • Author : Nilanjan Dey
  • Publisher : Academic Press
  • Release Date : 2019-04-15
  • Genre: Science
  • Pages : 312
  • ISBN 10 : 9780128181478
  • Total Read : 81
  • File Size : 10,6 Mb

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Big Data Analytics for Intelligent Healthcare Management Summary:

Big Data Analytics for Intelligent Healthcare Management covers both the theory and application of hardware platforms and architectures, the development of software methods, techniques and tools, applications and governance, and adoption strategies for the use of big data in healthcare and clinical research. The book provides the latest research findings on the use of big data analytics with statistical and machine learning techniques that analyze huge amounts of real-time healthcare data. Examines the methodology and requirements for development of big data architecture, big data modeling, big data as a service, big data analytics, and more Discusses big data applications for intelligent healthcare management, such as revenue management and pricing, predictive analytics/forecasting, big data integration for medical data, algorithms and techniques, etc. Covers the development of big data tools, such as data, web and text mining, data mining, optimization, machine learning, cloud in big data with Hadoop, big data in IoT, and more

Big Data Analytics for Healthcare Book

Big Data Analytics for Healthcare


  • Author : Pantea Keikhosrokiani
  • Publisher : Academic Press
  • Release Date : 2022-05-19
  • Genre: Business & Economics
  • Pages : 356
  • ISBN 10 : 9780323985161
  • Total Read : 79
  • File Size : 16,9 Mb

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Big Data Analytics for Healthcare Summary:

Big Data Analytics and Medical Information Systems presents the valuable use of artificial intelligence and big data analytics in healthcare and medical sciences. It focuses on theories, methods and approaches in which data analytic techniques can be used to examine medical data to provide a meaningful pattern for classification, diagnosis, treatment, and prediction of diseases. The book discusses topics such as theories and concepts of the field, and how big medical data mining techniques and applications can be applied to classification, diagnosis, treatment, and prediction of diseases. In addition, it covers social, behavioral, and medical fake news analytics to prevent medical misinformation and myths. It is a valuable resource for graduate students, researchers and members of biomedical field who are interested in learning more about analytic tools to support their work. Presents theories, methods and approaches in which data analytic techniques are used for medical data Brings practical information on how to use big data for classification, diagnosis, treatment, and prediction of diseases Discusses social, behavioral, and medical fake news analytics for medical information systems

Big Data and Artificial Intelligence for Healthcare Applications Book

Big Data and Artificial Intelligence for Healthcare Applications


  • Author : Ankur Saxena
  • Publisher : CRC Press
  • Release Date : 2021-06-15
  • Genre: Computers
  • Pages : 286
  • ISBN 10 : 9781000387315
  • Total Read : 61
  • File Size : 9,8 Mb

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Big Data and Artificial Intelligence for Healthcare Applications Summary:

This book covers a wide range of topics on the role of Artificial Intelligence, Machine Learning, and Big Data for healthcare applications and deals with the ethical issues and concerns associated with it. This book explores the applications in different areas of healthcare and highlights the current research. "Big Data and Artificial Intelligence for Healthcare Applications" covers healthcare big data analytics, mobile health and personalized medicine, clinical trial data management and presents how Artificial Intelligence can be used for early disease diagnosis prediction and prognosis. It also offers some case studies that describes the application of Artificial Intelligence and Machine Learning in healthcare. Researchers, healthcare professionals, data scientists, systems engineers, students, programmers, clinicians, and policymakers will find this book of interest.

New Horizons for a Data Driven Economy Book

New Horizons for a Data Driven Economy


  • Author : José María Cavanillas
  • Publisher : Springer
  • Release Date : 2016-04-04
  • Genre: Computers
  • Pages : 303
  • ISBN 10 : 9783319215693
  • Total Read : 65
  • File Size : 15,8 Mb

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New Horizons for a Data Driven Economy Summary:

In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be exploited to deliver value within different sectors of the economy. The book is structured in four parts: Part I “The Big Data Opportunity” explores the value potential of big data with a particular focus on the European context. It also describes the legal, business and social dimensions that need to be addressed, and briefly introduces the European Commission’s BIG project. Part II “The Big Data Value Chain” details the complete big data lifecycle from a technical point of view, ranging from data acquisition, analysis, curation and storage, to data usage and exploitation. Next, Part III “Usage and Exploitation of Big Data” illustrates the value creation possibilities of big data applications in various sectors, including industry, healthcare, finance, energy, media and public services. Finally, Part IV “A Roadmap for Big Data Research” identifies and prioritizes the cross-sectorial requirements for big data research, and outlines the most urgent and challenging technological, economic, political and societal issues for big data in Europe. This compendium summarizes more than two years of work performed by a leading group of major European research centers and industries in the context of the BIG project. It brings together research findings, forecasts and estimates related to this challenging technological context that is becoming the major axis of the new digitally transformed business environment.

Knowledge Modelling and Big Data Analytics in Healthcare Book

Knowledge Modelling and Big Data Analytics in Healthcare


  • Author : Mayuri Mehta
  • Publisher : CRC Press
  • Release Date : 2021-12-09
  • Genre: Computers
  • Pages : 362
  • ISBN 10 : 9781000477764
  • Total Read : 81
  • File Size : 5,6 Mb

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Knowledge Modelling and Big Data Analytics in Healthcare Summary:

Knowledge Modelling and Big Data Analytics in Healthcare: Advances and Applications focuses on automated analytical techniques for healthcare applications used to extract knowledge from a vast amount of data. It brings together a variety of different aspects of the healthcare system and aids in the decision-making processes for healthcare professionals. The editors connect four contemporary areas of research rarely brought together in one book: artificial intelligence, big data analytics, knowledge modelling, and healthcare. They present state-of-the-art research from the healthcare sector, including research on medical imaging, healthcare analysis, and the applications of artificial intelligence in drug discovery. This book is intended for data scientists, academicians, and industry professionals in the healthcare sector.

Big Data Analytics and Intelligence Book

Big Data Analytics and Intelligence


  • Author : Poonam Tanwar
  • Publisher : Emerald Group Publishing
  • Release Date : 2020-09-30
  • Genre: Business & Economics
  • Pages : 392
  • ISBN 10 : 9781839090998
  • Total Read : 99
  • File Size : 17,9 Mb

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Big Data Analytics and Intelligence Summary:

Big Data Analytics and Intelligence is essential reading for researchers and experts working in the fields of health care, data science, analytics, the internet of things, and information retrieval.