Big Data Management And The Internet Of Things For Improved Health Systems
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Big Data Management And The Internet Of Things For Improved Health Systems
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Author : Mishra, Brojo Kishore
language : en
Publisher: IGI Global
Release Date : 2018-01-19
Big Data Management And The Internet Of Things For Improved Health Systems written by Mishra, Brojo Kishore and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-01-19 with Medical categories.
Because of the increased access to high-speed Internet and smart phones, many patients have started to use mobile applications to manage various health needs. These devices and mobile apps are now increasingly used and integrated with telemedicine and telehealth via the medical Internet of Things (IoT). Big Data Management and the Internet of Things for Improved Health Systems is a critical scholarly resource that examines the digital transformation of healthcare. Featuring coverage on a broad range of topics, such as brain computer interface, data reduction techniques, and risk factors, this book is geared towards academicians, practitioners, researchers, and students seeking research on health and well-being data.
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.
Health 4 0 How Virtualization And Big Data Are Revolutionizing Healthcare
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Author : Christoph Thuemmler
language : en
Publisher: Springer
Release Date : 2017-01-07
Health 4 0 How Virtualization And Big Data Are Revolutionizing Healthcare written by Christoph Thuemmler and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-01-07 with Technology & Engineering categories.
This book describes how the creation of new digital services—through vertical and horizontal integration of data coming from sensors on top of existing legacy systems—that has already had a major impact on industry is now extending to healthcare. The book describes the fourth industrial revolution (i.e. Health 4.0), which is based on virtualization and service aggregation. It shows how sensors, embedded systems, and cyber-physical systems are fundamentally changing the way industrial processes work, their business models, and how we consume, while also affecting the health and care domains. Chapters describe the technology behind the shift of point of care to point of need and away from hospitals and institutions; how care will be delivered virtually outside hospitals; that services will be tailored to individuals rather than being designed as statistical averages; that data analytics will be used to help patients to manage their chronic conditions with help of smart devices; and that pharmaceuticals will be interactive to help prevent adverse reactions. The topics presented will have an impact on a variety of healthcare stakeholders in a continuously global and hyper-connected world. · Presents explanations of emerging topics as they relate to e-health, such as Industry 4.0, Precision Medicine, Mobile Health, 5G, Big Data, and Cyber-physical systems; · Provides overviews of technologies in addition to possible application scenarios and market conditions; · Features comprehensive demographic and statistic coverage of Health 4.0 presented in a graphical manner.
Machine Learning And The Internet Of Medical Things In Healthcare
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Author : Krishna Kant Singh
language : en
Publisher: Academic Press
Release Date : 2021-04-14
Machine Learning And The Internet Of Medical Things In Healthcare written by Krishna Kant Singh and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-14 with Science categories.
Machine Learning and the Internet of Medical Things in Healthcare discusses the applications and challenges of machine learning for healthcare applications. The book provides a platform for presenting machine learning-enabled healthcare techniques and offers a mathematical and conceptual background of the latest technology. It describes machine learning techniques along with the emerging platform of the Internet of Medical Things used by practitioners and researchers worldwide. The book includes deep feed forward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology. It also presents the concepts of the Internet of Things, the set of technologies that develops traditional devices into smart devices. Finally, the book offers research perspectives, covering the convergence of machine learning and IoT. It also presents the application of these technologies in the development of healthcare frameworks. - Provides an introduction to the Internet of Medical Things through the principles and applications of machine learning - Explains the functions and applications of machine learning in various applications such as ultrasound imaging, biomedical signal processing, robotics, and biomechatronics - Includes coverage of the evolution of healthcare applications with machine learning, including Clinical Decision Support Systems, artificial intelligence in biomedical engineering, and AI-enabled connected health informatics, supported by real-world case studies
Essentials Of Health Economics Third Edition
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Author : Diane M. Dewar
language : en
Publisher: Jones & Bartlett Learning
Release Date : 2024-10-23
Essentials Of Health Economics Third Edition written by Diane M. Dewar and has been published by Jones & Bartlett Learning this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-23 with Medical categories.
Written with the non-specialist in mind, Essentials of Health Economics, Third Edition examines the public health care system through the lens of economic theory. Through numerous examples, case studies, and profiles related to the field, students will learn the importance of health economics and its relevance to more general analysis of health policy issues.With new information on healthcare reforms faced at the state, national, and international level, new chapter on COVID,19, fresh profiles of notable economists, updated statistics, and more, the Third Edition provides a timely and accessible introduction that focuses on how to do descriptive, explanatory, and evaluative economics in a systematic way. Learn more about Third Edition in this video interview with Diane Dewar. New chapter on COVID-19 that provides a case study in emergency preparednessExpanded chapters on technology and health care workforce discuss the roles of digital health and physician extenders, respectivelyNational and international comparisons provided throughout given the global nature of health and healthcareNewly updated chapters in health care reform in national, state, and international realmsUpdated statistics and current events in policy and economics throughout End-of-chapter real world case studies encourage for application of principles discussed in each chapterUpdated and/or new notable economist profiles for students to learn about the field of health economics Health Economics courses in programs of public health, health administration, nursing, pharmacy and other allied health professions. © 2026 | 200 pages
Machine Learning And Deep Learning In Efficacy Improvement Of Healthcare Systems
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Author : Om Prakash Jena
language : en
Publisher: CRC Press
Release Date : 2022-05-18
Machine Learning And Deep Learning In Efficacy Improvement Of Healthcare Systems written by Om Prakash Jena and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-18 with Computers categories.
The goal of medical informatics is to improve life expectancy, disease diagnosis and quality of life. Medical devices have revolutionized healthcare and have led to the modern age of machine learning, deep learning and Internet of Medical Things (IoMT) with their proliferation, mobility and agility. This book exposes different dimensions of applications for computational intelligence and explains its use in solving various biomedical and healthcare problems in the real world. This book describes the fundamental concepts of machine learning and deep learning techniques in a healthcare system. The aim of this book is to describe how deep learning methods are used to ensure high-quality data processing, medical image and signal analysis and improved healthcare applications. This book also explores different dimensions of computational intelligence applications and illustrates its use in the solution of assorted real-world biomedical and healthcare problems. Furthermore, it provides the healthcare sector with innovative advances in theory, analytical approaches, numerical simulation, statistical analysis, modelling, advanced deployment, case studies, analytical results, computational structuring and significant progress in the field of machine learning and deep learning in healthcare applications. FEATURES Explores different dimensions of computational intelligence applications and illustrates its use in the solution of assorted real-world biomedical and healthcare problems Provides guidance in developing intelligence-based diagnostic systems, efficient models and cost-effective machines Provides the latest research findings, solutions to the concerning issues and relevant theoretical frameworks in the area of machine learning and deep learning for healthcare systems Describes experiences and findings relating to protocol design, prototyping, experimental evaluation, real testbeds and empirical characterization of security and privacy interoperability issues in healthcare applications Explores and illustrates the current and future impacts of pandemics and mitigates risk in healthcare with advanced analytics This book is intended for students, researchers, professionals and policy makers working in the fields of public health and in the healthcare sector. Scientists and IT specialists will also find this book beneficial for research exposure and new ideas in the field of machine learning and deep learning.
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.
Ai And Iot Technology And Applications For Smart Healthcare Systems
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Author : Alex Khang
language : en
Publisher: CRC Press
Release Date : 2024-05-15
Ai And Iot Technology And Applications For Smart Healthcare Systems written by Alex Khang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-15 with Medical categories.
In recent years, the application of Artificial Intelligence (AI) and Internet of Things (IoT) technologies in smart healthcare has been increasing. We are approaching a world where connected smart devices tell people when they need to visit a doctor because these devices will be able to detect health problems and discover symptoms of illness that may need medical care. AI-collaborative IoT technologies can help medical professionals with decision-making. These technologies can also help develop a sustainable and smart healthcare system. AI and IoT Technology and Applications for Smart Healthcare Systems helps readers understand complex scientific topics in a simple and accessible way. It introduces the world of AI-collaborative IoT physics, explaining how this technology behaves at the smallest level and how this can revolutionize healthcare. The book shows how IoT technology and AI can work together to make computers more powerful and capable of solving complex problems in the healthcare sector. Exploring the effect of AI-collaborative technology on IoT technologies, the book discusses how IoT can benefit from AI algorithms to enable machines to learn, make decisions, and process information more efficiently. Because smart machines create more perceptive devices and systems, the application of this technology raises important ethical questions about privacy, security, and the responsible development of healthcare IoT technology, which this book covers. The book also provides insight into the potential applications of these technologies not only in the healthcare industry but also in related fields, such as smart transportation, smart manufacturing, and smart cities.
Modern Digital Approaches To Care Technologies For Individuals With Disabilities
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Author : Rathi, Snehal Rahul
language : en
Publisher: IGI Global
Release Date : 2025-04-11
Modern Digital Approaches To Care Technologies For Individuals With Disabilities written by Rathi, Snehal Rahul and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-11 with Medical categories.
The quality of life of individuals with disabilities may be enhanced by integrating cutting-edge solutions that are smart, modern and intelligent. Through the incorporation of digital technologies, the initiative seeks to provide a comprehensive and efficient clinical care system that is customized to fit the specific requirements of people with disabilities by utilizing digital technology. By adopting a contemporary, smart, and digital strategy, this effort has the potential to revolutionize the landscape of clinical disability support. Ultimately, the influence of this effort goes beyond individual empowerment, contributing to a more compassionate and technologically advanced society that appreciates and promotes the capacities of all people. Modern Digital Approaches to Care Technologies for Individuals With Disabilities discusses a sensible, modern and intelligent perspective on leveraging smart and digital technologies for the clinical care of people with impairments. It strives to reduce obstacles and promote inclusion by streamlining clinical care procedures, enhancing communication, and providing targeted support via smart solutions. Covering topics such as drug dispensing, medical emergencies, and maternal care, this book is an excellent resource for physicians, nurses, therapists, care givers, support personnel, policymakers, rehabilitation practitioners, professionals, researchers, scholars, academicians, and more.
Smart Systems Engineering And Managing Information For Future Success
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Author : Shubham Mahajan
language : en
Publisher: Springer Nature
Release Date : 2025-02-24
Smart Systems Engineering And Managing Information For Future Success written by Shubham Mahajan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-24 with Computers categories.
In an era where technology is rapidly advancing, Smart Systems: Engineering and Managing Information for Future Success offers a comprehensive exploration of cutting-edge technologies that are reshaping industries and societies. This book delves into the integration of Artificial Intelligence (AI), Internet of Things (IoT), cloud computing, and advanced data analytics to create smarter systems that drive innovation and efficiency across various sectors.