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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

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Intelligent Healthcare

Intelligent Healthcare
  • Author : Surbhi Bhatia,Ashutosh Kumar Dubey,Rita Chhikara,Poonam Chaudhary,Abhishek Kumar
  • Publisher : Springer Nature
  • Release : 02 July 2021
GET THIS BOOKIntelligent Healthcare

This book fosters a scientific debate for sophisticated approaches and cognitive technologies (such as deep learning, machine learning and advanced analytics) for enhanced healthcare services in light of the tremendous scope in the future of intelligent systems for healthcare. The authors discuss the proliferation of huge data sources (e.g. genomes, electronic health records (EHRs), mobile diagnostics, and wearable devices) and breakthroughs in artificial intelligence applications, which have unlocked the doors for diagnosing and treating multitudes of rare diseases. The

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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 : 12 October 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

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Artificial Intelligence and Big Data Analytics for Smart Healthcare

Artificial Intelligence and Big Data Analytics for Smart Healthcare
  • Author : Miltiadis Lytras,Akila Sarirete,Anna Visvizi,Kwok Tai Chui
  • Publisher : Academic Press
  • Release : 22 October 2021
GET THIS BOOKArtificial Intelligence and Big Data Analytics for Smart Healthcare

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

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Knowledge Modelling and Big Data Analytics in Healthcare

Knowledge Modelling and Big Data Analytics in Healthcare
  • Author : Mayuri Mehta,Kalpdrum Passi,Indranath Chatterjee,Rajan Patel
  • Publisher : CRC Press
  • Release : 09 December 2021
GET THIS BOOKKnowledge Modelling and Big Data Analytics in Healthcare

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

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Machine Learning for Intelligent Decision Science

Machine Learning for Intelligent Decision Science
  • Author : Jitendra Kumar Rout,Minakhi Rout,Himansu Das
  • Publisher : Springer Nature
  • Release : 02 April 2020
GET THIS BOOKMachine Learning for Intelligent Decision Science

The book discusses machine learning-based decision-making models, and presents intelligent, hybrid and adaptive methods and tools for solving complex learning and decision-making problems under conditions of uncertainty. Featuring contributions from data scientists, practitioners and educators, the book covers a range of topics relating to intelligent systems for decision science, and examines recent innovations, trends, and practical challenges in the field. The book is a valuable resource for academics, students, researchers and professionals wanting to gain insights into decision-making.

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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,

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The Fourth Industrial Revolution: Implementation of Artificial Intelligence for Growing Business Success

The Fourth Industrial Revolution: Implementation of Artificial Intelligence for Growing Business Success
  • Author : Allam Hamdan,Aboul Ella Hassanien,Anjum Razzaque,Bahaaeddin Alareeni
  • Publisher : Springer Nature
  • Release : 11 April 2021
GET THIS BOOKThe Fourth Industrial Revolution: Implementation of Artificial Intelligence for Growing Business Success

This book focuses on the implementation of AI for growing business, and the book includes research articles and expository papers on the applications of AI on decision-making, health care, smart universities, public sector and digital government, FinTech, and RegTech. Artificial Intelligence (AI) is a vital and a fundamental driver for the Fourth Industrial Revolution (FIR). Its influence is observed at homes, in the businesses and in the public spaces. The embodied best of AI reflects robots which drive our cars,

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Advances in Power Systems and Energy Management

Advances in Power Systems and Energy Management
  • Author : Neeraj Priyadarshi,Sanjeevikumar Padmanaban,Ranjan Kumar Ghadai,Amiya Ranjan Panda,Ranjeeta Patel
  • Publisher : Springer Nature
  • Release : 20 January 2021
GET THIS BOOKAdvances in Power Systems and Energy Management

This book comprises select proceedings of the international conference ETAEERE 2020, and focuses on contemporary issues in energy management and energy efficiency in the context of power systems. The contents cover modeling, simulation and optimization based studies on topics like medium voltage BTB system, cost optimization of a ring frame unit in textile industry, rectenna for RF energy harvesting, ecology and energy dimension in infrastructural designs, study of AGC in two area hydro thermal power system, energy-efficient and reliable depth-based routing

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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

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Progress in Computing, Analytics and Networking

Progress in Computing, Analytics and Networking
  • Author : Himansu Das,Prasant Kumar Pattnaik,Siddharth Swarup Rautaray,Kuan-Ching Li
  • Publisher : Springer Nature
  • Release : 26 March 2020
GET THIS BOOKProgress in Computing, Analytics and Networking

This book focuses on new and original research ideas and findings in three broad areas: computing, analytics, and networking and their potential applications in the various domains of engineering – an emerging, interdisciplinary area in which a wide range of theories and methodologies are being investigated and developed to tackle complex and challenging real-world problems. The book also features keynote presentations and papers from the International Conference on Computing Analytics and Networking (ICCAN 2019), which offers an open forum for scientists, researchers

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Healthcare Data Analytics

Healthcare Data Analytics
  • Author : Chandan K. Reddy,Charu C. Aggarwal
  • Publisher : CRC Press
  • Release : 23 June 2015
GET THIS BOOKHealthcare Data Analytics

At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-related disciplines. Supplying a comprehensive overview of recent healthcare analytics research, Healthcare Data Analytics provides a clear understanding of the analytical techniques currently available to solve healthcare problems. The book details novel techniques for acquiring, handling, retrieving, and making best use of healthcare data. It analyzes recent developments in healthcare computing and discusses emerging technologies that can help improve

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Handbook of Research on Optimizing Healthcare Management Techniques

Handbook of Research on Optimizing Healthcare Management Techniques
  • Author : Wickramasinghe, Nilmini
  • Publisher : IGI Global
  • Release : 27 December 2019
GET THIS BOOKHandbook of Research on Optimizing Healthcare Management Techniques

Healthcare is noted for using leading-edge technologies and embracing new scientific discoveries to enable better cures for diseases and better means to enable early detection of most life-threatening diseases. However, the healthcare industry globally, and in the US specifically, has been extremely slow to adopt technologies that focus on better practice management and administrative needs. Presently, healthcare is grappling with many challenges both nationally and globally, including escalating costs, a move to a preventative care environment, and a technologically savvy

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