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Applications Of Big Data In Healthcare

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Applications of Big Data in Healthcare

Applications of Big Data in Healthcare Book
Author : Ashish Khanna,Deepak Gupta,Nilanjan Dey
Publisher : Academic Press
Release : 2021-03-10
ISBN : 0128204516
Language : En, Es, Fr & De

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Book Description :

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

Big Data Analytics in Healthcare Book
Author : Anand J. Kulkarni,Patrick Siarry,Pramod Kumar Singh,Ajith Abraham,Mengjie Zhang,Albert Zomaya,Fazle Baki
Publisher : Springer Nature
Release : 2019-10-01
ISBN : 3030316726
Language : En, Es, Fr & De

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Book Description :

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 Healthcare

Big Data Analytics for Healthcare Book
Author : Pantea Keikhosrokiani
Publisher : Academic Press
Release : 2022-05-19
ISBN : 0323985165
Language : En, Es, Fr & De

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Book Description :

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

Big Data and Artificial Intelligence for Healthcare Applications Book
Author : Ankur Saxena,Nicolas Brault,Shazia Rashid
Publisher : CRC Press
Release : 2021-06-15
ISBN : 1000387313
Language : En, Es, Fr & De

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Book Description :

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.

Knowledge Modelling and Big Data Analytics in Healthcare

Knowledge Modelling and Big Data Analytics in Healthcare Book
Author : Mayuri Mehta,Kalpdrum Passi,Indranath Chatterjee,Rajan Patel
Publisher : CRC Press
Release : 2021-12-09
ISBN : 1000477762
Language : En, Es, Fr & De

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Book Description :

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.

New Horizons for a Data Driven Economy

New Horizons for a Data Driven Economy Book
Author : José María Cavanillas,Edward Curry,Wolfgang Wahlster
Publisher : Springer
Release : 2016-04-04
ISBN : 3319215698
Language : En, Es, Fr & De

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Book Description :

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.

Building Big Data Applications

Building Big Data Applications Book
Author : Krish Krishnan
Publisher : Academic Press
Release : 2019-11-15
ISBN : 0128158042
Language : En, Es, Fr & De

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Book Description :

Building Big Data Applications helps data managers and their organizations make the most of unstructured data with an existing data warehouse. It provides readers with what they need to know to make sense of how Big Data fits into the world of Data Warehousing. Readers will learn about infrastructure options and integration and come away with a solid understanding on how to leverage various architectures for integration. The book includes a wide range of use cases that will help data managers visualize reference architectures in the context of specific industries (healthcare, big oil, transportation, software, etc.). Explores various ways to leverage Big Data by effectively integrating it into the data warehouse Includes real-world case studies which clearly demonstrate Big Data technologies Provides insights on how to optimize current data warehouse infrastructure and integrate newer infrastructure matching data processing workloads and requirements

Big Data Analytics for Intelligent Healthcare Management

Big Data Analytics for Intelligent Healthcare Management Book
Author : Nilanjan Dey,Himansu Das,Bighnaraj Naik,H S Behera
Publisher : Academic Press
Release : 2019-06-15
ISBN : 9780128181461
Language : En, Es, Fr & De

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Book Description :

The biggest technological challenge in Big Data is to provide a mechanism for storage, manipulation, and retrieval of information on large amounts of data. In this context, the healthcare industry is also being challenged with the difficulties of capturing data, storing data, analysis of data and data visualization. Due to the rapid growth of large volume of information generated on a daily basis, the use of existing healthcare infrastructure has become impracticable to handle this issue. So, it is essential to develop better intelligent techniques, skills and tools to deal with the patient data and its inherent insights automatically. Intelligent healthcare management technologies can play an effective role to tackle this challenge and change the future for improving our lives. Therefore, there is increasing interest in exploring and unlocking the value of the massively available data within the healthcare domain. Healthcare organizations also need to continuously discover useful and actionable knowledge and gain insight from raw data for various purposes such as saving lives, reducing medical errors, increasing efficiency, reducing costs and improving patient outcomes dynamically. Data analytics in intelligent healthcare management brings great challenge and also playing an important role in intelligent healthcare management system. Big Data Analytics for Intelligent Healthcare Management covers both the theory and application of hardware platforms and architectures, 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 to analyze huge amounts of real-time healthcare data. High dimensional data with multi-objective problems in healthcare is the primary open issue in big data, and this issue is covered extensively by the editors of this book. Heterogeneous healthcare data in various forms such as text, images, and video, and other detailed clinical data are required to be effectively stored, processed, and analyzed to avoid the increasing cost of health care and medical errors. Big Data Analytics for Intelligent Healthcare Management provides readers with insights into the design of intelligent healthcare systems to manage the rapid growth of high-dimensional real-time clinical data in an efficient way. Examines the methodology and requirements for development of big data architecture, big data modeling, big data as a service, big data analytics, big data for business modeling, big data privacy in healthcare, as well as decision and risk analysis 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 to speed up the analysis of big medical data, business Intelligence for medical and healthcare data, disease diagnostic predictive models, data models and architectures for healthcare, healthcare data integration Covers 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, data analytics with machine learning tools, data analytics with optimization techniques, data analytics in enterprise applications, social network analysis in healthcare, big data analytics for smart cities, and data analytics for clinical applications

Artificial Intelligence and Big Data Analytics for Smart Healthcare

Artificial Intelligence and Big Data Analytics for Smart Healthcare Book
Author : Miltiadis Lytras,Akila Sarirete,Anna Visvizi,Kwok Tai Chui
Publisher : Academic Press
Release : 2021-10-22
ISBN : 0128220627
Language : En, Es, Fr & De

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Book Description :

Artificial Intelligence and Big Data Analytics for Smart Healthcare serves as a key reference for practitioners and experts involved in healthcare as they strive to enhance the value added of healthcare and develop more sustainable healthcare systems. It brings together insights from emerging sophisticated information and communication technologies such as big data analytics, artificial intelligence, machine learning, data science, medical intelligence, and, by dwelling on their current and prospective applications, highlights managerial and policymaking challenges they may generate. The book is split into five sections: big data infrastructure, framework and design for smart healthcare; signal processing techniques for smart healthcare applications; business analytics (descriptive, diagnostic, predictive and prescriptive) for smart healthcare; emerging tools and techniques for smart healthcare; and challenges (security, privacy, and policy) in big data for smart healthcare. The content is carefully developed to be understandable to different members of healthcare chain to leverage collaborations with researchers and industry. Presents a holistic discussion on the new landscape of data driven medical technologies including Big Data, Analytics, Artificial Intelligence, Machine Learning, and Precision Medicine Discusses such technologies with case study driven approach with reference to real world application and systems, to make easier the understanding to the reader not familiar with them Encompasses an international collaboration perspective, providing understandable knowledge to professionals involved with healthcare to leverage productive partnerships with technology developers

Data Science for Healthcare

Data Science for Healthcare Book
Author : Sergio Consoli,Diego Reforgiato Recupero,Milan Petković
Publisher : Springer
Release : 2019-02-23
ISBN : 3030052494
Language : En, Es, Fr & De

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Book Description :

This book seeks to promote the exploitation of data science in healthcare systems. The focus is on advancing the automated analytical methods used to extract new knowledge from data for healthcare applications. To do so, the book draws on several interrelated disciplines, including machine learning, big data analytics, statistics, pattern recognition, computer vision, and Semantic Web technologies, and focuses on their direct application to healthcare. Building on three tutorial-like chapters on data science in healthcare, the following eleven chapters highlight success stories on the application of data science in healthcare, where data science and artificial intelligence technologies have proven to be very promising. This book is primarily intended for data scientists involved in the healthcare or medical sector. By reading this book, they will gain essential insights into the modern data science technologies needed to advance innovation for both healthcare businesses and patients. A basic grasp of data science is recommended in order to fully benefit from this book.

Applications of Blockchain in Healthcare

Applications of Blockchain in Healthcare Book
Author : Suyel Namasudra,Ganesh Chandra Deka
Publisher : Springer Nature
Release : 2020-12-08
ISBN : 981159547X
Language : En, Es, Fr & De

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Book Description :

This book discusses applications of blockchain in healthcare sector. The security of confidential and sensitive data is of utmost importance in healthcare industry. The introduction of blockchain methods in an effective manner will bring secure transactions in a peer-to-peer network. The book also covers gaps of the current available books/literature available for use cases of Distributed Ledger Technology (DLT) in healthcare. The information and applications discussed in the book are immensely helpful for researchers, database professionals, and practitioners. The book also discusses protocols, standards, and government regulations which are very useful for policymakers. /div /div /div /div /div /div /div /div /div /div /div /div /div /div /div /div /div /div /div /div /div /div /div

Big Data Big Challenges A Healthcare Perspective

Big Data  Big Challenges  A Healthcare Perspective Book
Author : Mowafa Househ,Andre W. Kushniruk,Elizabeth M. Borycki
Publisher : Springer
Release : 2019-02-26
ISBN : 3030061094
Language : En, Es, Fr & De

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Book Description :

This is the first book to offer a comprehensive yet concise overview of the challenges and opportunities presented by the use of big data in healthcare. The respective chapters address a range of aspects: from health management to patient safety; from the human factor perspective to ethical and economic considerations, and many more. By providing a historical background on the use of big data, and critically analyzing current approaches together with issues and challenges related to their applications, the book not only sheds light on the problems entailed by big data, but also paves the way for possible solutions and future research directions. Accordingly, it offers an insightful reference guide for health information technology professionals, healthcare managers, healthcare practitioners, and patients alike, aiding them in their decision-making processes; and for students and researchers whose work involves data science-related research issues in healthcare.

Data Analytics in Medicine Concepts Methodologies Tools and Applications

Data Analytics in Medicine  Concepts  Methodologies  Tools  and Applications Book
Author : Management Association, Information Resources
Publisher : IGI Global
Release : 2019-12-06
ISBN : 1799812057
Language : En, Es, Fr & De

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Book Description :

Advancements in data science have created opportunities to sort, manage, and analyze large amounts of data more effectively and efficiently. Applying these new technologies to the healthcare industry, which has vast quantities of patient and medical data and is increasingly becoming more data-reliant, is crucial for refining medical practices and patient care. Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications is a vital reference source that examines practical applications of healthcare analytics for improved patient care, resource allocation, and medical performance, as well as for diagnosing, predicting, and identifying at-risk populations. Highlighting a range of topics such as data security and privacy, health informatics, and predictive analytics, this multi-volume book is ideally designed for doctors, hospital administrators, nurses, medical professionals, IT specialists, computer engineers, information technologists, biomedical engineers, data-processing specialists, healthcare practitioners, academicians, and researchers interested in current research on the connections between data analytics in the field of medicine.

Transforming Healthcare with Big Data and AI

Transforming Healthcare with Big Data and AI Book
Author : Mingbo Gong,Anna Farzindar,Alex Liu
Publisher : IAP
Release : 2020-04-01
ISBN : 1641138998
Language : En, Es, Fr & De

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Book Description :

Healthcare and technology are at a convergence point where significant changes are poised to take place. The vast and complex requirements of medical record keeping, coupled with stringent patient privacy laws, create an incredibly unwieldy maze of health data needs. While the past decade has seen giant leaps in AI, machine learning, wearable technologies, and data mining capacities that have enabled quantities of data to be accumulated, processed, and shared around the globe. Transforming Healthcare with Big Data and AI examines the crossroads of these two fields and looks to the future of leveraging advanced technologies and developing data ecosystems to the healthcare field. This book is the product of the Transforming Healthcare with Data conference, held at the University of Southern California. Many speakers and digital healthcare industry leaders contributed multidisciplinary expertise to chapters in this work. Authors’ backgrounds range from data scientists, healthcare experts, university professors, and digital healthcare entrepreneurs. If you have an understanding of data technologies and are interested in the future of Big Data and A.I. in healthcare, this book will provide a wealth of insights into the new landscape of healthcare.

Big Data Analytics and Intelligence

Big Data Analytics and Intelligence Book
Author : Poonam Tanwar,Vishal Jain,Chuan-Ming Liu,Vishal Goyal
Publisher : Emerald Group Publishing
Release : 2020-09-30
ISBN : 1839090995
Language : En, Es, Fr & De

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Book Description :

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.

Big Data Analytics in Bioinformatics and Healthcare

Big Data Analytics in Bioinformatics and Healthcare Book
Author : Wang, Baoying
Publisher : IGI Global
Release : 2014-10-31
ISBN : 1466666129
Language : En, Es, Fr & De

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Book Description :

As technology evolves and electronic data becomes more complex, digital medical record management and analysis becomes a challenge. In order to discover patterns and make relevant predictions based on large data sets, researchers and medical professionals must find new methods to analyze and extract relevant health information. Big Data Analytics in Bioinformatics and Healthcare merges the fields of biology, technology, and medicine in order to present a comprehensive study on the emerging information processing applications necessary in the field of electronic medical record management. Complete with interdisciplinary research resources, this publication is an essential reference source for researchers, practitioners, and students interested in the fields of biological computation, database management, and health information technology, with a special focus on the methodologies and tools to manage massive and complex electronic information.

Research Anthology on Big Data Analytics Architectures and Applications

Research Anthology on Big Data Analytics  Architectures  and Applications Book
Author : Management Association, Information Resources
Publisher : IGI Global
Release : 2021-09-24
ISBN : 1668436639
Language : En, Es, Fr & De

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Book Description :

Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.

Applications of Big Data in Large and Small Scale Systems

Applications of Big Data in Large  and Small Scale Systems Book
Author : Goundar, Sam,Rayani, Praveen Kumar
Publisher : IGI Global
Release : 2021-01-15
ISBN : 1799866750
Language : En, Es, Fr & De

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Book Description :

With new technologies, such as computer vision, internet of things, mobile computing, e-governance and e-commerce, and wide applications of social media, organizations generate a huge volume of data and at a much faster rate than several years ago. Big data in large-/small-scale systems, characterized by high volume, diversity, and velocity, increasingly drives decision making and is changing the landscape of business intelligence. From governments to private organizations, from communities to individuals, all areas are being affected by this shift. There is a high demand for big data analytics that offer insights for computing efficiency, knowledge discovery, problem solving, and event prediction. To handle this demand and this increase in big data, there needs to be research on innovative and optimized machine learning algorithms in both large- and small-scale systems. Applications of Big Data in Large- and Small-Scale Systems includes state-of-the-art research findings on the latest development, up-to-date issues, and challenges in the field of big data and presents the latest innovative and intelligent applications related to big data. This book encompasses big data in various multidisciplinary fields from the medical field to agriculture, business research, and smart cities. While highlighting topics including machine learning, cloud computing, data visualization, and more, this book is a valuable reference tool for computer scientists, data scientists and analysts, engineers, practitioners, stakeholders, researchers, academicians, and students interested in the versatile and innovative use of big data in both large-scale and small-scale systems.

Research Anthology on Big Data Analytics Architectures and Applications

Research Anthology on Big Data Analytics  Architectures  and Applications Book
Author : Information Resources Management Association
Publisher : Engineering Science Reference
Release : 2021-09-24
ISBN : 9781668436622
Language : En, Es, Fr & De

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Book Description :

Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.

Demystifying Big Data and Machine Learning for Healthcare

Demystifying Big Data and Machine Learning for Healthcare Book
Author : Prashant Natarajan,John C. Frenzel,Detlev H. Smaltz
Publisher : CRC Press
Release : 2017-02-15
ISBN : 1315389304
Language : En, Es, Fr & De

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Book Description :

Healthcare transformation requires us to continually look at new and better ways to manage insights – both within and outside the organization today. Increasingly, the ability to glean and operationalize new insights efficiently as a byproduct of an organization’s day-to-day operations is becoming vital to hospitals and health systems ability to survive and prosper. One of the long-standing challenges in healthcare informatics has been the ability to deal with the sheer variety and volume of disparate healthcare data and the increasing need to derive veracity and value out of it. Demystifying Big Data and Machine Learning for Healthcare investigates how healthcare organizations can leverage this tapestry of big data to discover new business value, use cases, and knowledge as well as how big data can be woven into pre-existing business intelligence and analytics efforts. This book focuses on teaching you how to: Develop skills needed to identify and demolish big-data myths Become an expert in separating hype from reality Understand the V’s that matter in healthcare and why Harmonize the 4 C’s across little and big data Choose data fi delity over data quality Learn how to apply the NRF Framework Master applied machine learning for healthcare Conduct a guided tour of learning algorithms Recognize and be prepared for the future of artificial intelligence in healthcare via best practices, feedback loops, and contextually intelligent agents (CIAs) The variety of data in healthcare spans multiple business workflows, formats (structured, un-, and semi-structured), integration at point of care/need, and integration with existing knowledge. In order to deal with these realities, the authors propose new approaches to creating a knowledge-driven learning organization-based on new and existing strategies, methods and technologies. This book will address the long-standing challenges in healthcare informatics and provide pragmatic recommendations on how to deal with them.