Iot And Big Data Technologies For Health Care

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Internet Of Things And Big Data Technologies For Next Generation Healthcare
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Author : Chintan Bhatt
language : en
Publisher: Springer
Release Date : 2017-01-01
Internet Of Things And Big Data Technologies For Next Generation Healthcare written by Chintan Bhatt and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-01 with Technology & Engineering categories.
This comprehensive book focuses on better big-data security for healthcare organizations. Following an extensive introduction to the Internet of Things (IoT) in healthcare including challenging topics and scenarios, it offers an in-depth analysis of medical body area networks with the 5th generation of IoT communication technology along with its nanotechnology. It also describes a novel strategic framework and computationally intelligent model to measure possible security vulnerabilities in the context of e-health. Moreover, the book addresses healthcare systems that handle large volumes of data driven by patients’ records and health/personal information, including big-data-based knowledge management systems to support clinical decisions. Several of the issues faced in storing/processing big data are presented along with the available tools, technologies and algorithms to deal with those problems as well as a case study in healthcare analytics. Addressing trust, privacy, and security issues as well as the IoT and big-data challenges, the book highlights the advances in the field to guide engineers developing different IoT devices and evaluating the performance of different IoT techniques. Additionally, it explores the impact of such technologies on public, private, community, and hybrid scenarios in healthcare. This book offers professionals, scientists and engineers the latest technologies, techniques, and strategies for IoT and big data.
Medical Big Data And Internet Of Medical Things
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Author : Aboul Hassanien
language : en
Publisher:
Release Date : 2024-06-25
Medical Big Data And Internet Of Medical Things written by Aboul Hassanien and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-25 with categories.
This book addresses recent advances in data mining, learning, and analysis of big volume medical images resulting at a high rate from both real time systems and off line systems. The book includes privacy, trust, and security issues related to medical Big Data and related IoT and presents case studies in healthcare analytics as well.
Iot And Big Data Technologies For Health Care
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Author : Zheng Zhang
language : en
Publisher: Springer Nature
Release Date : 2025-04-29
Iot And Big Data Technologies For Health Care written by Zheng Zhang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-29 with Medical categories.
This book constitutes the refereed proceedings of the 4th IoT Technologies for Health Care on IoT and Big Data Technologies for Health Care, IotCare 2023, held in Leicester, UK, during November 17–18, 2023. The 29 full papers included in this book were carefully reviewed and selected from 93 submissions. They were organized in topical sections as follows: Healthcare Technologies and Innovations; Educational Technologies and Teaching Resources; Internet of Things (IoT) Applications and Systems; IoT and Automation Systems; Medical Research and Analysis.
Iot And Big Data Technologies For Health Care
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Author : Shuihua Wang
language : en
Publisher: Springer Nature
Release Date : 2022-06-17
Iot And Big Data Technologies For Health Care written by Shuihua Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-17 with Medical categories.
This two-volume set of LNICST 414 and 415 constitutes the refereed post-conference proceedings of the 2nd International Conference on IoT and Big Data Technologies for Health Care, IoTCARE 2021, which took place in October 2021. Due to COVID-19 pandemic the conference was held virtually. The 79 revised full papers were carefully reviewed and selected from 165 submissions. The papers are arranged thematically as follows: Integrating healthcare with IoT; Information fusion for the devices of IoT; AI-based internet of medical things.
Artificial Intelligence And Big Data Analytics For Smart Healthcare
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Author : Miltiadis Lytras
language : en
Publisher: Academic Press
Release Date : 2021-10-22
Artificial Intelligence And Big Data Analytics For Smart Healthcare written by Miltiadis Lytras and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-22 with Medical categories.
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 is split into five sections: big data infrastructure, framework and design for smart healthcare; signal processing techniques for smart healthcare applications; business analytics (descriptive, diagnostic, predictive and prescriptive) for smart healthcare; emerging tools and techniques for smart healthcare; and challenges (security, privacy, and policy) in big data for smart healthcare. The content is carefully developed to be understandable to different members of healthcare chain to leverage collaborations with researchers and industry. - Presents a holistic discussion on the new landscape of data driven medical technologies including Big Data, Analytics, Artificial Intelligence, Machine Learning, and Precision Medicine - Discusses such technologies with case study driven approach with reference to real world application and systems, to make easier the understanding to the reader not familiar with them - Encompasses an international collaboration perspective, providing understandable knowledge to professionals involved with healthcare to leverage productive partnerships with technology developers
Smart Healthcare Analytics In Iot Enabled Environment
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Author : Prasant Kumar Pattnaik
language : en
Publisher: Springer Nature
Release Date : 2020-02-17
Smart Healthcare Analytics In Iot Enabled Environment written by Prasant Kumar Pattnaik and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-17 with Technology & Engineering categories.
This book addresses various aspects of how smart healthcare can be used to detect and analyze diseases, the underlying methodologies, and related security concerns. Healthcare is a multidisciplinary field that involves a range of factors like the financial system, social factors, health technologies, and organizational structures that affect the healthcare provided to individuals, families, institutions, organizations, and populations. The goals of healthcare services include patient safety, timeliness, effectiveness, efficiency, and equity. Smart healthcare consists of m-health, e-health, electronic resource management, smart and intelligent home services, and medical devices. The Internet of Things (IoT) is a system comprising real-world things that interact and communicate with each other via networking technologies. The wide range of potential applications of IoT includes healthcare services. IoT-enabled healthcare technologies are suitable for remote health monitoring, including rehabilitation, assisted ambient living, etc. In turn, healthcare analytics can be applied to the data gathered from different areas to improve healthcare at minimum expense.
Big Data Analytics And Intelligence
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Author : Poonam Tanwar
language : en
Publisher: Emerald Group Publishing
Release Date : 2020-09-30
Big Data Analytics And Intelligence written by Poonam Tanwar and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-30 with Business & Economics categories.
Big Data Analytics and Intelligence is essential reading for researchers and experts working in the fields of health care, data science, analytics, the internet of things, and information retrieval.
Healthcare 4 0
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Author : Janya Chanchaichujit
language : en
Publisher: Springer
Release Date : 2019-07-23
Healthcare 4 0 written by Janya Chanchaichujit and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-23 with Business & Economics categories.
This book aims to demonstrate the benefits of implementing Industry 4.0 in healthcare services and to recommend a framework to support this implementation. Key topics in this book include: (1) Discovering emerging technologies and techniques to support Healthcare 4.0, this includes the Internet of Things (IOT) , Big data analytics, Blockchain, Artificial Intelligence (AI) , Optimisation and Predictive Analytics; (2) Illustrating some examples of such advanced implementation in Healthcare 4.0; (3) Recommending a development process to develop health technology start-ups and entrepreneurial activities; and (4) Discuss the transformation methodology used to redesign healthcare processes in order to overcome the challenges of implementing a Healthcare 4.0 project.
Transforming Healthcare With Big Data And Ai
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Author : Alex Liu
language : en
Publisher: IAP
Release Date : 2020-04-01
Transforming Healthcare With Big Data And Ai written by Alex Liu and has been published by IAP this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-01 with Computers categories.
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 examines the crossroads of these two fields and looks to the future of leveraging advanced technologies and developing data ecosystems to the healthcare field. This book is the product of the Transforming Healthcare with Data conference, held at the University of Southern California. Many speakers and digital healthcare industry leaders contributed multidisciplinary expertise to chapters in this work. Authors’ backgrounds range from data scientists, healthcare experts, university professors, and digital healthcare entrepreneurs. If you have an understanding of data technologies and are interested in the future of Big Data and A.I. in healthcare, this book will provide a wealth of insights into the new landscape of healthcare.
Healthcare Paradigms In The Internet Of Things Ecosystem
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Author : Valentina Emilia Balas
language : en
Publisher: Academic Press
Release Date : 2020-11-07
Healthcare Paradigms In The Internet Of Things Ecosystem written by Valentina Emilia Balas and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-07 with Science categories.
Health Care Paradigms in the Internet of Things Ecosystem brings all IoT-enabled health care related technologies into a single platform so that undergraduate and postgraduate students, researchers, academicians and industry leaders can easily understand IoT-based healthcare systems. The book uses data and network engineering and intelligent decision support system-by-design principles to design a reliable IoT-enabled health care ecosystem and to implement cyber-physical pervasive infrastructure solutions. It takes the reader on a journey that begins with understanding the healthcare monitoring paradigm in IoT-enabled technologies and how it can be applied in various aspects. In addition, the book walks readers through real-time challenges and presents a guide on how to build a safe infrastructure for IoT-based health care. It also helps researchers and practitioners understand the e-health care architecture through IoT and the state-of-the-art in IoT countermeasures. Readers will find this to be a comprehensive discussion on functional frameworks for IoT-based healthcare systems, intelligent medicine, RFID technology, HMI, Cognitive Interpretation, Brain-Computer Interface, Remote Health Monitoring systems, wearable sensors, WBAN, and security and privacy issues in IoT-based health care monitoring systems. - Presents the complete functional framework workflow in IoT-enabled healthcare technologies - Explains concepts of location-aware protocols and decisive mobility in IoT healthcare - Provides complete coverage of intelligent data processing and wearable sensor technologies in IoT-enabled healthcare - Explores the Human Machine Interface and its implications in patient-care systems in IoT healthcare - Explores security and privacy issues and challenges related to data-intensive technologies in healthcare-based Internet of Things