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Big Data Analytics for Intelligent Healthcare Management

Big Data Analytics for Intelligent Healthcare Management
  • Author : Nilanjan Dey
  • Publsiher : Academic Press
  • Release : 15 April 2019
  • ISBN : 0128181478
  • Pages : 312 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKBig 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 Intelligent Healthcare Management

Big Data Analytics for Intelligent Healthcare Management
  • Author : Nilanjan Dey,Himansu Das,Bighnaraj Naik,H S Behera
  • Publisher : Academic Press
  • Release : 15 April 2019
GET THIS BOOKBig Data Analytics for Intelligent Healthcare Management

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


Healthcare Data Analytics and Management

Healthcare Data Analytics and Management
  • Author : Nilanjan Dey,Amira S. Ashour,Simon James Fong,Chintan Bhatt
  • Publisher : Academic Press
  • Release : 15 November 2018
GET THIS BOOKHealthcare Data Analytics and Management

Healthcare Data Analytics and Management help readers disseminate cutting-edge research that delivers insights into the analytic tools, opportunities, novel strategies, techniques and challenges for handling big data, data analytics and management in healthcare. As the rapidly expanding and heterogeneous nature of healthcare data poses challenges for big data analytics, this book targets researchers and bioengineers from areas of machine learning, data mining, data management, and healthcare providers, along with clinical researchers and physicians who are interested in the management and


Next Generation Technology Driven Precission Medicine and Smart Healthcare

Next Generation Technology Driven Precission Medicine and Smart Healthcare
  • Author : Miltiadis D. Lytras,Anna Visvizi,Akila Sarirete
  • Publisher : Academic Press
  • Release : 01 September 2020
GET THIS BOOKNext Generation Technology Driven Precission Medicine and Smart Healthcare

Next Generation Technology Driven Precission Medicine and 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


Big Data and Health Analytics

Big Data and Health Analytics
  • Author : Katherine Marconi,Harold Lehmann
  • Publisher : CRC Press
  • Release : 20 December 2014
GET THIS BOOKBig Data and Health Analytics

Data availability is surpassing existing paradigms for governing, managing, analyzing, and interpreting health data. Big Data and Health Analytics provides frameworks, use cases, and examples that illustrate the role of big data and analytics in modern health care, including how public health information can inform health delivery.Written for healt


Big Data Analytics in Healthcare

Big Data Analytics in Healthcare
  • Author : Anand J. Kulkarni,Patrick Siarry,Pramod Kumar Singh,Ajith Abraham,Mengjie Zhang,Albert Zomaya,Fazle Baki
  • Publisher : Springer Nature
  • Release : 01 October 2019
GET THIS BOOKBig Data Analytics in Healthcare

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,


Managerial Perspectives on Intelligent Big Data Analytics

Managerial Perspectives on Intelligent Big Data Analytics
  • Author : Sun, Zhaohao
  • Publisher : IGI Global
  • Release : 22 February 2019
GET THIS BOOKManagerial Perspectives on Intelligent Big Data Analytics

Big data, analytics, and artificial intelligence are revolutionizing work, management, and lifestyles and are becoming disruptive technologies for healthcare, e-commerce, and web services. However, many fundamental, technological, and managerial issues for developing and applying intelligent big data analytics in these fields have yet to be addressed. Managerial Perspectives on Intelligent Big Data Analytics is a collection of innovative research that discusses the integration and application of artificial intelligence, business intelligence, digital transformation, and intelligent big data analytics from a perspective



Analytics in Healthcare

Analytics in Healthcare
  • Author : Christo El Morr,Hossam Ali-Hassan
  • Publisher : Springer
  • Release : 21 January 2019
GET THIS BOOKAnalytics in Healthcare

This book offers a practical introduction to healthcare analytics that does not require a background in data science or statistics. It presents the basics of data, analytics and tools and includes multiple examples of their applications in the field. The book also identifies practical challenges that fuel the need for analytics in healthcare as well as the solutions to address these problems. In the healthcare field, professionals have access to vast amount of data in the form of staff records,


Data Science for Healthcare

Data Science for Healthcare
  • Author : Sergio Consoli,Diego Reforgiato Recupero,Milan Petković
  • Publisher : Springer
  • Release : 23 February 2019
GET THIS BOOKData Science for Healthcare

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


Demystifying Big Data and Machine Learning for Healthcare

Demystifying Big Data and Machine Learning for Healthcare
  • Author : Prashant Natarajan,John C. Frenzel,Detlev H. Smaltz
  • Publisher : CRC Press
  • Release : 15 February 2017
GET THIS BOOKDemystifying Big Data and Machine Learning for Healthcare

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


Applications of Big Data in Healthcare

Applications of Big Data in Healthcare
  • Author : Ashish Khanna,Deepak Gupta,Nilanjan Dey
  • Publisher : Academic Press
  • Release : 01 February 2021
GET THIS BOOKApplications of Big Data in Healthcare

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 Analytics in Medicine: Concepts, Methodologies, Tools, and Applications

Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications
  • Author : Management Association, Information Resources
  • Publisher : IGI Global
  • Release : 06 December 2019
GET THIS BOOKData Analytics in Medicine: Concepts, Methodologies, Tools, and Applications

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


IoT-Based Data Analytics for the Healthcare Industry

IoT-Based Data Analytics for the Healthcare Industry
  • Author : Sanjay Kumar Singh,Ravi Shankar Singh,Anil Kumar Pandey,Sandeep S Udmale,Ankit Chaudhary
  • Publisher : Academic Press
  • Release : 01 December 2020
GET THIS BOOKIoT-Based Data Analytics for the Healthcare Industry

IoT Based Data Analytics for the Healthcare Industry: Techniques and Applications explores recent advances in the analysis of healthcare industry data through IoT data analytics. The book covers the analysis of ubiquitous data generated by the healthcare industry, from a wide range of sources, including patients, doctors, hospitals, and health insurance companies. The book provides AI solutions and support for healthcare industry end-users who need to analyze and manipulate this vast amount of data. These solutions feature deep learning and


Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach

Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach
  • Author : Aboul-Ella Hassanien,Nilanjan Dey,Sally Elghamrawy
  • Publisher : Springer Nature
  • Release : 13 November 2020
GET THIS BOOKBig Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach

This book includes research articles and expository papers on the applications of artificial intelligence and big data analytics to battle the pandemic. In the context of COVID-19, this book focuses on how big data analytic and artificial intelligence help fight COVID-19. The book is divided into four parts. The first part discusses the forecasting and visualization of the COVID-19 data. The second part describes applications of artificial intelligence in the COVID-19 diagnosis of chest X-Ray imaging. The third part discusses


Machine Learning and AI for Healthcare

Machine Learning and AI for Healthcare
  • Author : Arjun Panesar
  • Publisher : Apress
  • Release : 04 February 2019
GET THIS BOOKMachine Learning and AI for Healthcare

Explore the theory and practical applications of artificial intelligence (AI) and machine learning in healthcare. This book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare and big data challenges. You’ll discover the ethical implications of healthcare data analytics and the future of AI in population and patient health optimization. You’ll also create a machine learning model, evaluate performance and operationalize its outcomes within your organization. Machine Learning and AI for