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Data Science for Healthcare

methods used to extract new knowledge from data for healthcare applications. To do so, the book draws on several interrelated disciplines;

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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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Strategies in Biomedical Data Science

potential mitigations provides necessary insight for forward-looking healthcare professionals. Big Data has been a topic of discussion for some;

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Data Science and Its Applications

information from data, and insight for developing the concept from different domains, highlighting mathematical and statistical models, operations;

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Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics

Analyzing data sets has continued to be an invaluable application for numerous industries. By combining different algorithms, technologies;

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Fundamentals of Clinical Data Science

excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants;

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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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Smart Healthcare Systems

About the Book The book provides details of applying intelligent mining techniques for extracting and pre-processing medical data from;

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R for Health Data Science

interact daily with data, often without realising it. The conversion of this avalanche of information to useful knowledge is essential for high;

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R for Health Data Science

interact daily with data, often without realising it. The conversion of this avalanche of information to useful knowledge is essential for high;

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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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Healthcare Data Analytics

At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many;

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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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Artificial Intelligence and Data Mining in Healthcare

compression, data clustering, and feature selection. The content will be valuable for researchers and postgraduate students in computer science;

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Big Data in Medical Science and Healthcare Management

Big Data in medical science - what exactly is that? What are the potentials for healthcare management? Where is Big Data at the moment;

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Big Data, Big Challenges: A Healthcare Perspective: Background, Issues, Solutions and Research Directions

processes; and for students and researchers whose work involves data science-related research issues in healthcare.;

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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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Machine Learning for Healthcare

Machine Learning for Healthcare: Handling and Managing Data provides in-depth information about handling and managing healthcare data;

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Healthcare Analytics Knowledge

signals from patient-monitoring systems; data uncertainty in clinical laboratory tests; predictive modeling; disease modeling for sepsis; and the;

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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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Handbook of Data Science Approaches for Biomedical Engineering

Handbook of Data Science Approaches for Biomedical Engineering covers the research issues and concepts of biomedical engineering;

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Healthcare Analytics Made Simple

them to gain better insight from this data in order to improve healthcare outcomes. This book is a complete overview of machine learning for;

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Understanding Healthcare Delivery Science

be most efficiently delivered from an operational standpoint. The book is exceptional for two other reasons: numerous case vignettes put the;

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Analytics in Healthcare: A Practical Introduction

, analytics, and interpretation of outcomes. This book is a resource for such individuals to demystify and learn the basics of data management and;

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Transforming Healthcare Analytics

intelligence for making better healthcare decisions. Identifying patterns and correlations contained in complex health data, analytics has applications;

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Artificial Intelligence for the Internet of Health Things

This book discusses research in Artificial Intelligence for the Internet of Health Things. It investigates and explores the possible;

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