Healthcare 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 heteroge...

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Main Authors: Dey, Nilanjan, 1984-, editor 611303, Ashour, Amira, editor 648477, Bhatt, Chintan M., editor 648478, Fong, Simon James, editor 648479, ScienceDirect (Online service) 7722
Format: software, multimedia
Language:eng
Published: London : Academic Press, 2019
Subjects:
Online Access:https://www.sciencedirect.com/science/book/9780128153680
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author Dey, Nilanjan, 1984-, editor 611303
Ashour, Amira, editor 648477
Bhatt, Chintan M., editor 648478
Fong, Simon James, editor 648479
ScienceDirect (Online service) 7722
author_facet Dey, Nilanjan, 1984-, editor 611303
Ashour, Amira, editor 648477
Bhatt, Chintan M., editor 648478
Fong, Simon James, editor 648479
ScienceDirect (Online service) 7722
author_sort Dey, Nilanjan, 1984-, editor 611303
collection OCEAN
description 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 analysis of healthcare data.
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institution Universiti Teknologi Malaysia - OCEAN
language eng
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publishDate 2019
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spelling KOHA-OAI-TEST:6038052023-10-19T00:20:49ZHealthcare Data Analytics and Management / Dey, Nilanjan, 1984-, editor 611303 Ashour, Amira, editor 648477 Bhatt, Chintan M., editor 648478 Fong, Simon James, editor 648479 ScienceDirect (Online service) 7722 software, multimedia Electronic books 631902 London : Academic Press,2019©2019engHealthcare 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 analysis of healthcare data.Includes index.Chapter 1 - Internet of things, smart sensors, and pervasive systems: Enabling connected and pervasive healthcare -- Chapter 2 - Migration of healthcare relational database to NoSQL cloud database for healthcare analytics and management -- Chapter 3 - Developing a decision support system for big data analysis and cost allocation in national healthcare -- Chapter 4 - Securing large datasets involving fast-performing key bunch matrix block cipher -- Chapter 5 - Comparative analysis of semantic frameworks in healthcare -- Chapter 6 - Smart ambulance system using concept of big data and internet of things -- Chapter 7 - Mathematical methods of ECG data analysis -- Chapter 8 - Smart information technology for universal healthcare -- Chapter 9 - Handling uncertainty in IoT design: An approach of statistical machine learning with distributed second-order optimization -- Chapter 10 - A reversible and secure electronic patient record embedding technique using histogram bin shifting and RC6 encryption -- Chapter 11 - Secure and reversible data hiding scheme for healthcare system using magic rectangle and a new interpolation technique -- IndexHealthcare 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 analysis of healthcare data.Medicinehttps://www.sciencedirect.com/science/book/9780128153680URN:ISBN:9780128153680Remote access restricted to users with a valid UTM ID via VPN.
spellingShingle Medicine
Dey, Nilanjan, 1984-, editor 611303
Ashour, Amira, editor 648477
Bhatt, Chintan M., editor 648478
Fong, Simon James, editor 648479
ScienceDirect (Online service) 7722
Healthcare Data Analytics and Management /
title Healthcare Data Analytics and Management /
title_full Healthcare Data Analytics and Management /
title_fullStr Healthcare Data Analytics and Management /
title_full_unstemmed Healthcare Data Analytics and Management /
title_short Healthcare Data Analytics and Management /
title_sort healthcare data analytics and management
topic Medicine
url https://www.sciencedirect.com/science/book/9780128153680
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