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Big Data Analytics in Bioinformatics and Healthcare

to analyze and extract relevant health information. Big Data Analytics in Bioinformatics and Healthcare merges the fields of biology;

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Translational Bioinformatics Applications in Healthcare

and viral diseases, and COVID-19-related research. Covers recent technologies such as Blockchain, IoT, and Big data analytics;

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Healthcare Data Analytics and Management

, opportunities, novel strategies, techniques and challenges for handling big data, data analytics and management in healthcare. As the rapidly expanding;

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Big Data Analytics for Intelligent Healthcare Management

Big Data Analytics for Intelligent Healthcare Management covers both the theory and application of hardware platforms and architectures;

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Deep Learning and Edge Computing Solutions for High Performance Computing

analytics, disease network analysis, and techniques for big data Analytics and health information technology.;

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Artificial 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;

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Big Data Analytics

sections named: big data analytics: vision and perspectives; financial data analytics and data streams; web and social media data; big data systems;

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Data Analytics in Biomedical Engineering and Healthcare

in health sciences and biomedical data. The book is useful for those working with big data analytics in biomedical research, medical industries, and;

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Application of Omics, AI and Blockchain in Bioinformatics Research

With the increasing availability of omics data and mounting evidence of the usefulness of computational approaches to tackle multi-level;

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Big Data Analytics

science systems; data science architectures; big data analytics in healthcare; information interchange of Web data resources; and business;

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Foundations of Data Science Based Healthcare Internet of Things

also provides details of the challenges of healthcare big data, role of big data in healthcare and techniques, and tools for IoT in healthcare;

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Innovation in Health Informatics

imperative to deliver efficient, patient-centered and sustainable healthcare systems. Topics discussed include big data, medical data analytics;

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Trends of Data Science and Applications

practitioners on big data technologies, artificial intelligence, machine learning, deep learning, data representation and visualization, business;

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Healthcare Analytics for Quality and Performance Improvement

tools and techniques to analyze and extract value from healthcare data * Demonstrates how the clinical, business, and technology components;

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Managerial Perspectives on Intelligent Big Data Analytics

Big data, analytics, and artificial intelligence are revolutionizing work, management, and lifestyles and are becoming disruptive;

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Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics

Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization;

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Big Data and Artificial Intelligence for Healthcare Applications

This book covers a wide range of topics on the role of Artificial Intelligence, Machine Learning, and Big Data for healthcare applications;

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Big Data Analytics Methods

and prediction. More than 100 analytics techniques and methods provide big data professionals, business intelligence professionals and citizen;

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Green Computing and Predictive Analytics for Healthcare

Green Computing and Predictive Analytics for Healthcare excavates the rudimentary concepts of Green Computing, Big Data and the Internet;

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Big Data Analytics in Healthcare

of big data in the context of healthcare. The concept of big data is revolutionary, both from a technological and societal well-being standpoint;

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Big Data Analytics in Healthcare

of big data in the context of healthcare. The concept of big data is revolutionary, both from a technological and societal well-being standpoint;

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Making Healthcare Green

This book offers examples of how data science, big data, analytics, and cloud technology can be used in healthcare to significantly improve;

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Making Healthcare Green

This book offers examples of how data science, big data, analytics, and cloud technology can be used in healthcare to significantly improve;

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Applications of Big Data in Healthcare

Applications of Big Data in Healthcare: Theory and Practicebegins with the basics of Big Data analysis and introduces the tools;

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Optimized Cloud Based Scheduling

assembly tasks in a hybrid cloud environment. It proposes approaches for addressing scheduling and performance issues in big data analytics and;

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Optimized Cloud Based Scheduling

assembly tasks in a hybrid cloud environment. It proposes approaches for addressing scheduling and performance issues in big data analytics and;

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Big Data BigData 2020

pandemic. The 16 full and 3 short papers presented were carefully reviewed and selected from 52 submissions. The topics covered are Big Data;

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