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Applications of Big Data in Healthcare

Applications of Big Data in Healthcare
  • Author : Ashish Khanna,Deepak Gupta,Nilanjan Dey
  • Publisher : Academic Press
  • Release : 10 March 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

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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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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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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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Big Data and Artificial Intelligence for Healthcare Applications

Big Data and Artificial Intelligence for Healthcare Applications
  • Author : Ankur Saxena,Nicolas Brault,Shazia Rashid
  • Publisher : CRC Press
  • Release : 15 June 2021
GET THIS BOOKBig 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 and deals with the ethical issues and concerns associated with it. This book explores the applications in different areas of healthcare and highlights the current research. "Big Data and Artificial Intelligence for Healthcare Applications" covers healthcare big data analytics, mobile health and personalized medicine, clinical trial data management and presents how Artificial Intelligence can be used for early

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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

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Medical Big Data and Internet of Medical Things

Medical Big Data and Internet of Medical Things
  • Author : Aboul Ella Hassanien,Nilanjan Dey,Surekha Borra
  • Publisher : CRC Press
  • Release : 25 October 2018
GET THIS BOOKMedical Big Data and Internet of Medical Things

Big data and the Internet of Things (IoT) play a vital role in prediction systems used in biological and medical applications, particularly for resolving issues related to disease biology at different scales. Modelling and integrating medical big data with the IoT helps in building effective prediction systems for automatic recommendations of diagnosis and treatment. The ability to mine, process, analyse, characterize, classify and cluster a variety and wide volume of medical data is a challenging task. There is a great

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Incorporating the Internet of Things in Healthcare Applications and Wearable Devices

Incorporating the Internet of Things in Healthcare Applications and Wearable Devices
  • Author : Pankajavalli, P. B.,Karthick, G. S.
  • Publisher : IGI Global
  • Release : 11 October 2019
GET THIS BOOKIncorporating the Internet of Things in Healthcare Applications and Wearable Devices

The internet of things (IoT) has had a major impact on academic and industrial fields. Applying these technologies to healthcare systems reduces medical costs while enriching the patient-centric approach to medicine, allowing for better overall healthcare proficiency. However, usage of IoT in healthcare is still suffering from significant challenges with respect to the cost and accuracy of medical sensors, non-standard IoT system architectures, assorted wearable devices, the huge volume of generated data, and interoperability issues. Incorporating the Internet of Things

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Handbook of Research on Data Science for Effective Healthcare Practice and Administration

Handbook of Research on Data Science for Effective Healthcare Practice and Administration
  • Author : Noughabi, Elham Akhond Zadeh,Raahemi, Bijan,Albadvi, Amir,Far, Behrouz H.
  • Publisher : IGI Global
  • Release : 20 July 2017
GET THIS BOOKHandbook of Research on Data Science for Effective Healthcare Practice and Administration

Data science has always been an effective way of extracting knowledge and insights from information in various forms. One industry that can utilize the benefits from the advances in data science is the healthcare field. The Handbook of Research on Data Science for Effective Healthcare Practice and Administration is a critical reference source that overviews the state of data analysis as it relates to current practices in the health sciences field. Covering innovative topics such as linear programming, simulation modeling,

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Research Anthology on Big Data Analytics, Architectures, and Applications

Research Anthology on Big Data Analytics, Architectures, and Applications
  • Author : Management Association, Information Resources
  • Publisher : IGI Global
  • Release : 24 September 2021
GET THIS BOOKResearch Anthology on Big Data Analytics, Architectures, and Applications

Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics,

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Big Data Analytics in Bioinformatics and Healthcare

Big Data Analytics in Bioinformatics and Healthcare
  • Author : Wang, Baoying
  • Publisher : IGI Global
  • Release : 31 October 2014
GET THIS BOOKBig Data Analytics in Bioinformatics and Healthcare

As technology evolves and electronic data becomes more complex, digital medical record management and analysis becomes a challenge. In order to discover patterns and make relevant predictions based on large data sets, researchers and medical professionals must find new methods to analyze and extract relevant health information. Big Data Analytics in Bioinformatics and Healthcare merges the fields of biology, technology, and medicine in order to present a comprehensive study on the emerging information processing applications necessary in the field of

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Leveraging Biomedical and Healthcare Data

Leveraging Biomedical and Healthcare Data
  • Author : Firas Kobeissy,Kevin Wang,Fadi A. Zaraket,Ali Alawieh
  • Publisher : Academic Press
  • Release : 23 November 2018
GET THIS BOOKLeveraging Biomedical and Healthcare Data

Leveraging Biomedical and Healthcare Data: Semantics, Analytics and Knowledge provides an overview of the approaches used in semantic systems biology, introduces novel areas of its application, and describes step-wise protocols for transforming heterogeneous data into useful knowledge that can influence healthcare and biomedical research. Given the astronomical increase in the number of published reports, papers, and datasets over the last few decades, the ability to curate this data has become a new field of biomedical and healthcare research. This book

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Transforming Healthcare with Big Data and AI

Transforming Healthcare with Big Data and AI
  • Author : Mingbo Gong,Anna Farzindar,Alex Liu
  • Publisher : IAP
  • Release : 01 April 2020
GET THIS BOOKTransforming Healthcare with Big Data and AI

Healthcare and technology are at a convergence point where significant changes are poised to take place. The vast and complex requirements of medical record keeping, coupled with stringent patient privacy laws, create an incredibly unwieldy maze of health data needs. While the past decade has seen giant leaps in AI, machine learning, wearable technologies, and data mining capacities that have enabled quantities of data to be accumulated, processed, and shared around the globe. Transforming Healthcare with Big Data and AI

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Big Data Applications in Industry 4.0

Big Data Applications in Industry 4.0
  • Author : P. Kaliraj,T. Devi
  • Publisher : CRC Press
  • Release : 10 February 2022
GET THIS BOOKBig Data Applications in Industry 4.0

Industry 4.0 is the latest technological innovation in manufacturing with the goal to increase productivity in a flexible and efficient manner. Changing the way in which manufacturers operate, this revolutionary transformation is powered by various technology advances including Big Data analytics, Internet of Things (IoT), Artificial Intelligence (AI), and cloud computing. Big Data analytics has been identified as one of the significant components of Industry 4.0, as it provides valuable insights for smart factory management. Big Data and Industry 4.0 have the potential

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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

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