Intelligent IoT Systems in Personalized Health Care Book

Intelligent IoT Systems in Personalized Health Care


  • Author : Arun Kumar Sangaiah
  • Publisher : Academic Press
  • Release Date : 2020-12-01
  • Genre: Technology & Engineering
  • Pages : 360
  • ISBN 10 : 9780128232040

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Intelligent IoT Systems in Personalized Health Care Excerpt :

Intelligent IoT Systems in Personalized Health Care delivers a significant forum for the technical advancement of IoMT learning in parallel computing environments across biomedical engineering diversified domains and its applications. Pursuing an interdisciplinary approach, the book focuses on methods used to identify and acquire valid, potentially useful knowledge sources. The book presents novel, in-depth, fundamental research contributions from a methodological/application perspective to help readers understand the fusion of AI with IoT and its capabilities in solving a diverse range of problems for biomedical engineering and its real-world personalized health care applications. The book is well suited for researchers exploring the significance of IoT based architecture to perform predictive analytics of user activities in sustainable health. Presents novel, in-depth, fundamental research contributions from a methodological/application perspective to help readers understand the fusion of AI with IoT Illustrates state-of-the-art developments in new theories and applications of IoMT techniques as applied to parallel computing environments in biomedical engineering systems Presents concepts and technologies successfully used in the implementation of today's intelligent data-centric IoT systems and Edge-Cloud-Big data

Intelligent IoT Systems in Personalized Health Care Book

Intelligent IoT Systems in Personalized Health Care


  • Author : Arun Kumar Sangaiah
  • Publisher : Academic Press
  • Release Date : 2020-11-25
  • Genre: Technology & Engineering
  • Pages : 360
  • ISBN 10 : 9780128211878

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Intelligent IoT Systems in Personalized Health Care Excerpt :

Intelligent IoT Systems in Personalized Health Care delivers a significant forum for the technical advancement of IoMT learning in parallel computing environments across biomedical engineering diversified domains and its applications. Pursuing an interdisciplinary approach, the book focuses on methods used to identify and acquire valid, potentially useful knowledge sources. The book presents novel, in-depth, fundamental research contributions from a methodological/application perspective to help readers understand the fusion of AI with IoT and its capabilities in solving a diverse range of problems for biomedical engineering and its real-world personalized health care applications. The book is well suited for researchers exploring the significance of IoT based architecture to perform predictive analytics of user activities in sustainable health. Presents novel, in-depth, fundamental research contributions from a methodological/application perspective to help readers understand the fusion of AI with IoT Illustrates state-of-the-art developments in new theories and applications of IoMT techniques as applied to parallel computing environments in biomedical engineering systems Presents concepts and technologies successfully used in the implementation of today's intelligent data-centric IoT systems and Edge-Cloud-Big data

Smart Medical Data Sensing and IoT Systems Design in Healthcare Book

Smart Medical Data Sensing and IoT Systems Design in Healthcare


  • Author : Chakraborty, Chinmay
  • Publisher : IGI Global
  • Release Date : 2019-09-20
  • Genre: Medical
  • Pages : 288
  • ISBN 10 : 9781799802624

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Smart Medical Data Sensing and IoT Systems Design in Healthcare Excerpt :

Smart healthcare technology improves the diagnosis and treatment of patients, provides easy access to medical facilities and emergency care services, and minimizes the gaps between patients and healthcare providers. While clinical data protection remains a major challenge, innovations such as the internet of medical things and smart healthcare systems increase the efficiency and quality of patient care. Healthcare technology can only become faster, more profitable, and more flexible as additional research on its advancements is conducted and collected. Smart Medical Data Sensing and IoT Systems Design in Healthcare is an essential reference source that focuses on robust and easy solutions for the delivery of medical information from patients to doctors and explores low-cost, high-performance, highly efficient, deployable IoT system options in healthcare systems. Featuring research on topics such as hospital management systems, electronic health records, and bio-signals, this book is ideally designed for technologists, engineers, scientists, clinicians, biomedical engineers, hospital directors, doctors, nurses, healthcare practitioners, telemedical agents, students, and academicians seeking coverage on the latest technological developments in medical data analysis and connectivity.

Integrating Artificial Intelligence and IoT for Advanced Health Informatics Book

Integrating Artificial Intelligence and IoT for Advanced Health Informatics


  • Author : Carmela Comito
  • Publisher : Springer Nature
  • Release Date : 2022
  • Genre: Artificial intelligence
  • Pages : 188
  • ISBN 10 : 9783030911812

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Integrating Artificial Intelligence and IoT for Advanced Health Informatics Excerpt :

The book covers the integration of Internet of Things (IoT) and Artificial Intelligence (AI) to tackle applications in smart healthcare. The authors discuss efficient means to collect, monitor, control, optimize, model, and predict healthcare data using AI and IoT. The book presents the many advantages and improvements in the smart healthcare field, in which ubiquitous computing and traditional computational methods alone are often inadequate. AI techniques are presented that play a crucial role in dealing with large amounts of heterogeneous, multi-scale and multi-modal data coming from IoT infrastructures. The book is intended to cover how the fusion of IoT and AI allows the design of models, methodologies, algorithms, evaluation benchmarks, and tools can address challenging problems related to health informatics, healthcare, and wellbeing.

Applications of Deep Learning and Big IoT on Personalized Healthcare Services Book

Applications of Deep Learning and Big IoT on Personalized Healthcare Services


  • Author : Wason, Ritika
  • Publisher : IGI Global
  • Release Date : 2020-02-07
  • Genre: Medical
  • Pages : 248
  • ISBN 10 : 9781799821021

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Applications of Deep Learning and Big IoT on Personalized Healthcare Services Excerpt :

Healthcare is an industry that has seen great advancements in personalized services through big data analytics. Despite the application of smart devices in the medical field, the mass volume of data that is being generated makes it challenging to correctly diagnose patients. This has led to the implementation of precise algorithms that can manage large amounts of information and successfully use smart living in medical environments. Professionals worldwide need relevant research on how to successfully implement these smart technologies within their own personalized healthcare processes. Applications of Deep Learning and Big IoT on Personalized Healthcare Services is a pivotal reference source that provides a collection of innovative research on the analytical methods and applications of smart algorithms for the personalized treatment of patients. While highlighting topics including cognitive computing, natural language processing, and supply chain optimization, this book is ideally designed for network designers, analysts, technology specialists, medical professionals, developers, researchers, academicians, and post-graduate students seeking relevant information on smart developments within individualized healthcare.

Implementation of Smart Healthcare Systems using AI  IoT  and Blockchain Book

Implementation of Smart Healthcare Systems using AI IoT and Blockchain


  • Author : Chinmay Chakraborty
  • Publisher : Academic Press
  • Release Date : 2022-09-30
  • Genre: Computers
  • Pages : 299
  • ISBN 10 : 9780323919364

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Implementation of Smart Healthcare Systems using AI IoT and Blockchain Excerpt :

Implementation of Smart Healthcare Systems using AI, IoT, and Blockchain provides imperative research on the development of data fusion and analytics for healthcare and their implementation into current issues in a real-time environment. While highlighting IoT, bio-inspired computing, big data, and evolutionary programming, the book explores various concepts and theories of data fusion, IoT, and Big Data Analytics. It also investigates the challenges and methodologies required to integrate data from multiple heterogeneous sources, analytical platforms in healthcare sectors. This book is unique in the way that it provides useful insights into the implementation of a smart and intelligent healthcare system in a post-Covid-19 world using enabling technologies like Artificial Intelligence, Internet of Things, and blockchain in providing transparent, faster, secure and privacy preserved healthcare ecosystem for the masses. Explains how IoT can be integrated into the healthcare ecosystem for better diagnostics, monitoring and treatment Includes AI for predictive and preventive healthcare Describes blockchain for managing healthcare data to provide transparency, security and distributed storage Offers effective remote diagnostics and telemedicine approaches Highlights the importance of gold standard medical datasets for improved modeling and analysis

IoT System Design Book

IoT System Design


  • Author : Alice James
  • Publisher : Springer Nature
  • Release Date : 2021-09-25
  • Genre: Technology & Engineering
  • Pages : 279
  • ISBN 10 : 9783030858636

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IoT System Design Excerpt :

This book presents a step by step design approach to develop and implement an IoT system starting from sensor, interfacing to embedded processor, wireless communication, uploading measured data to cloud including data visualization along with machine learnings and artificial intelligence. The book will be extremely useful towards a hands-on approach of designing and fabricating an IoT system especially for upper undergraduate, master and PhD students, researchers, engineers and practitioners.

Intelligent Internet of Things for Smart Healthcare Systems Book

Intelligent Internet of Things for Smart Healthcare Systems


  • Author : Durgesh Srivastava
  • Publisher : CRC Press
  • Release Date : 2023-02-23
  • Genre: Computers
  • Pages : 269
  • ISBN 10 : 9781000834970

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Intelligent Internet of Things for Smart Healthcare Systems Excerpt :

The book focuses on developments in artificial intelligence (AI) and internet of things (IoT) integration for smart healthcare, with an emphasis on current methodologies and frameworks for the design, growth, implementation, and creative use of such convergence technologies to provide insight into smart healthcare service demands. Concepts like signal recognition, computation, internet of health stuff, and so forth and their applications are covered. Development in connectivity and intelligent networks allowing for social adoption of ambient intelligence is also included. Features: •Introduces Intelligent IoT as applicable to the key areas of smart healthcare. •Discusses computational intelligence and IoT-based optimizations of smart healthcare systems •Explores effective management of healthcare systems using dedicated IoT-based infrastructures •Includes dedicated chapters on securing patient’s confidential data •Reviews diagnosis of critical diseases from medical imaging using advanced deep learning-based approaches This book is aimed at researchers, professionals, and graduate students in intelligent systems, big data, cloud computing, information security, and healthcare systems.

Connected E Health Book

Connected E Health


  • Author : Sushruta Mishra
  • Publisher : Springer Nature
  • Release Date : 2022
  • Genre: Artificial intelligence
  • Pages : 487
  • ISBN 10 : 9783030979294

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Connected E Health Excerpt :

With rise of smart medical sensors, cloud computing and the health care technologies, "connected health" is getting remarkable consideration everywhere. Recently, the Internet of Things (IoT) has brought the vision of a smarter world into reality. Cloud computing fits well in this scenario as it can provide high quality of clinical experience. Thus an IoT-cloud convergence can play a vital role in healthcare by offering better insight of heterogeneous healthcare content supporting quality care. It can also support powerful processing and storage facilities of huge data to provide automated decision making. This book aims to report quality research on recent advances towards IoT-Cloud convergence for smart healthcare, more specifically to the state-of-the-art approaches, design, development and innovative use of those convergence methods for providing insights into healthcare service demands. Students, researchers, and medical experts in the field of information technology, medicine, cloud computing, soft computing technologies, IoT and the related fields can benefit from this handbook in handling real-time challenges in healthcare. Current books are limited to focus either on soft computing algorithms or smart healthcare. Integration of smart and cloud computing models in healthcare resulting in connected health is explored in detail in this book.

Trends of Artificial Intelligence and Big Data for E Health Book

Trends of Artificial Intelligence and Big Data for E Health


  • Author : Houneida Sakly
  • Publisher : Springer Nature
  • Release Date : 2023-02-02
  • Genre: Medical
  • Pages : 256
  • ISBN 10 : 9783031111990

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Trends of Artificial Intelligence and Big Data for E Health Excerpt :

This book aims to present the impact of Artificial Intelligence (AI) and Big Data in healthcare for medical decision making and data analysis in myriad fields including Radiology, Radiomics, Radiogenomics, Oncology, Pharmacology, COVID-19 prognosis, Cardiac imaging, Neuroradiology, Psychiatry and others. This will include topics such as Artificial Intelligence of Thing (AIOT), Explainable Artificial Intelligence (XAI), Distributed learning, Blockchain of Internet of Things (BIOT), Cybersecurity, and Internet of (Medical) Things (IoTs). Healthcare providers will learn how to leverage Big Data analytics and AI as methodology for accurate analysis based on their clinical data repositories and clinical decision support. The capacity to recognize patterns and transform large amounts of data into usable information for precision medicine assists healthcare professionals in achieving these objectives. Intelligent Health has the potential to monitor patients at risk with underlying conditions and track their progress during therapy. Some of the greatest challenges in using these technologies are based on legal and ethical concerns of using medical data and adequately representing and servicing disparate patient populations. One major potential benefit of this technology is to make health systems more sustainable and standardized. Privacy and data security, establishing protocols, appropriate governance, and improving technologies will be among the crucial priorities for Digital Transformation in Healthcare.

The Impact of Digital Technologies on Public Health in Developed and Developing Countries Book

The Impact of Digital Technologies on Public Health in Developed and Developing Countries


  • Author : Mohamed Jmaiel
  • Publisher : Springer Nature
  • Release Date : 2020-01-01
  • Genre: Application software
  • Pages : 442
  • ISBN 10 : 9783030515171

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The Impact of Digital Technologies on Public Health in Developed and Developing Countries Excerpt :

This open access book constitutes the refereed proceedings of the 18th International Conference on String Processing and Information Retrieval, ICOST 2020, held in Hammamet, Tunisia, in June 2020.* The 17 full papers and 23 short papers presented in this volume were carefully reviewed and selected from 49 submissions. They cover topics such as: IoT and AI solutions for e-health; biomedical and health informatics; behavior and activity monitoring; behavior and activity monitoring; and wellbeing technology. *This conference was held virtually due to the COVID-19 pandemic.

Intelligent Manufacturing and Energy Sustainability Book

Intelligent Manufacturing and Energy Sustainability


  • Author : A.N.R. Reddy
  • Publisher : Springer Nature
  • Release Date : 2021-04-02
  • Genre: Technology & Engineering
  • Pages : 794
  • ISBN 10 : 9789813344433

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Intelligent Manufacturing and Energy Sustainability Excerpt :

This book includes best selected, high-quality research papers presented at the International Conference on Intelligent Manufacturing and Energy Sustainability (ICIMES 2020) held at the Department of Mechanical Engineering, Malla Reddy College of Engineering & Technology (MRCET), Maisammaguda, Hyderabad, India, during August 21-22, 2020. It covers topics in the areas of automation, manufacturing technology and energy sustainability and also includes original works in the intelligent systems, manufacturing, mechanical, electrical, aeronautical, materials, automobile, bioenergy and energy sustainability.

Decision Sciences for COVID 19 Book

Decision Sciences for COVID 19


  • Author : Said Ali Hassan
  • Publisher : Springer Nature
  • Release Date : 2022
  • Genre: COVID-19 (Disease)
  • Pages : 475
  • ISBN 10 : 9783030870195

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Decision Sciences for COVID 19 Excerpt :

This book presents best practices involving applications of decision sciences, business tactics and behavioral sciences for COVID-19. Addressing concrete problems in these vital fields, it focuses on theoretical and methodological investigations of managerial decisions that drive production and service enterprises productivity and success. Moreover, it presents optimization techniques and tools that can also be adopted for other applications in various research areas after a thorough analysis of the specific problem. The book is intended for researchers and practitioners seeking optimum solutions to real-life problems in various application areas concerning COVID-19, helping them make scientifically founded decisions.

IoT in Healthcare and Ambient Assisted Living Book

IoT in Healthcare and Ambient Assisted Living


  • Author : Gonçalo Marques
  • Publisher : Springer Nature
  • Release Date : 2021-01-04
  • Genre: Technology & Engineering
  • Pages : 371
  • ISBN 10 : 9789811598975

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IoT in Healthcare and Ambient Assisted Living Excerpt :

This book presents the state of the art of Internet of Things (IoT) from the perspective of healthcare and Ambient Assisted Living (AAL). It discusses the emerging technologies in healthcare services used for healthcare professionals and patients for enhanced living environments and public health. The topics covered in this book include emerging eHealth IoT applications, Internet of Medical Things, health sensors, and wearable sensors for pervasive and personalized healthcare, and smart homes applications for enhanced health and well-being. The book also presents various ideas for the design and development of IoT solutions for healthcare and AAL. It will be useful for bioengineers and professionals working in the areas of healthcare as well as health informatics.

IoT Based Data Analytics for the Healthcare Industry Book

IoT Based Data Analytics for the Healthcare Industry


  • Author : Sanjay Kumar Singh
  • Publisher : Academic Press
  • Release Date : 2020-12-01
  • Genre: Technology & Engineering
  • Pages : 340
  • ISBN 10 : 9780128214763

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IoT Based Data Analytics for the Healthcare Industry Excerpt :

IoT Based Data Analytics for the Healthcare Industry: Techniques and Applications explores recent advances in the analysis of healthcare industry data through IoT data analytics. The book covers the analysis of ubiquitous data generated by the healthcare industry, from a wide range of sources, including patients, doctors, hospitals, and health insurance companies. The book provides AI solutions and support for healthcare industry end-users who need to analyze and manipulate this vast amount of data. These solutions feature deep learning and a wide range of intelligent methods, including simulated annealing, tabu search, genetic algorithm, ant colony optimization, and particle swarm optimization. The book also explores challenges, opportunities, and future research directions, and discusses the data collection and pre-processing stages, challenges and issues in data collection, data handling, and data collection set-up. Healthcare industry data or streaming data generated by ubiquitous sensors cocooned into the IoT requires advanced analytics to transform data into information. With advances in computing power, communications, and techniques for data acquisition, the need for advanced data analytics is in high demand. Provides state-of-art methods and current trends in data analytics for the healthcare industry Addresses the top concerns in the healthcare industry using IoT and data analytics, and machine learning and deep learning techniques Discusses several potential AI techniques developed using IoT for the healthcare industry Explores challenges, opportunities, and future research directions, and discusses the data collection and pre-processing stages