Semantic Models In Iot And Ehealth Applications

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Semantic Models in IoT and eHealth Applications

Author : Sanju Tiwari
Publisher : Academic Press
ISBN 13 : 0323972268
Total Pages : 292 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Semantic Models in IoT and eHealth Applications by : Sanju Tiwari

Download or read book Semantic Models in IoT and eHealth Applications written by Sanju Tiwari and published by Academic Press. This book was released on 2022-09-17 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: Semantic Models in IoT and eHealth Applications explores the key role of semantic web modeling in eHealth technologies, including remote monitoring, mobile health, cloud data and biomedical ontologies. The book explores different challenges and issues through the lens of various case studies of healthcare systems currently adopting these technologies. Chapters introduce the concepts of semantic interoperability within a healthcare model setting and explore how semantic representation is key to classifying, analyzing and understanding the massive amounts of biomedical data being generated by connected medical devices. Continuous health monitoring is a strong solution which can provide eHealth services to a community through the use of IoT-based devices that collect sensor data for efficient health diagnosis, monitoring and treatment. All of this collected data needs to be represented in the form of ontologies which are considered the cornerstone of the Semantic Web for knowledge sharing, information integration and information extraction. - Presents comprehensive coverage of advances in the application of semantic web in the field of eHealth - Explores different challenges and issues through various case studies of healthcare systems that are adopting semantic web technologies - Covers applications across a range of eHealth technologies, including remote monitoring and mobile health

Roles and Challenges of Semantic Intelligence in Healthcare Cognitive Computing

Author : A. Carbonaro
Publisher : IOS Press
ISBN 13 : 1643684612
Total Pages : 178 pages
Book Rating : 4.6/5 (436 download)

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Book Synopsis Roles and Challenges of Semantic Intelligence in Healthcare Cognitive Computing by : A. Carbonaro

Download or read book Roles and Challenges of Semantic Intelligence in Healthcare Cognitive Computing written by A. Carbonaro and published by IOS Press. This book was released on 2024-01-26 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: The data that must be processed in healthcare includes text, numbers, statistics, and images, and healthcare systems are continuously acquiring novel data from cutting-edge technologies like wearable devices. Semantic intelligence technologies, such as artificial intelligence, machine learning, and the internet of things, together with the hybrid methodologies which combine these approaches, are central to the development of the intelligent, knowledge-based systems now used in healthcare. This book, Roles and Challenges of Semantic Intelligence in Healthcare Cognitive Computing explores those emerging fields of science and technology in which cognitive computing techniques offer the effective solutions poised to impact healthcare in the foreseeable future, minimizing errors and improving the effectiveness of personalized care models. The book assesses the current landscape, and identifies the roles and challenges of integrating cognitive computing techniques into the widespread adoption of innovative smart healthcare solutions. Each chapter is the result of collaboration by experts from various domains, and provides a detailed overview of the potential offered by new technologies in the field. A wide spectrum of topics and emerging trends are covered, reflecting the multidisciplinary nature of healthcare and cognitive computing and including digital twins, eXplainable AI, AI-based decision-support systems in intensive care, and culinary healthcare, as well as the semantic internet of things (SIoT), natural language processing, and deep learning and graph models. The book presents new ideas which will facilitate collaboration among the different disciplines involved, and will be of interest to all those working in this rapidly evolving field.

Knowledge Graphs and Semantic Web

Author : Fernando Ortiz-Rodriguez
Publisher : Springer Nature
ISBN 13 : 3031477456
Total Pages : 303 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Knowledge Graphs and Semantic Web by : Fernando Ortiz-Rodriguez

Download or read book Knowledge Graphs and Semantic Web written by Fernando Ortiz-Rodriguez and published by Springer Nature. This book was released on 2023-12-01 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th Iberoamerican Conference and 4th Indo-American Conference on Knowledge Graphs and Semantic Web, KGSWC 2023, held jointly in Zaragoza, Spain, during November 13–15, 2023. The 18 full and 2 short papers presented were carefully reviewed and selected from 50 submissions. They focus on the following topics: knowledge representation; natural language processing/text mining; and machine/deep learning research.

Tools, Languages, Methodologies for Representing Semantics on the Web of Things

Author : Shikha Mehta
Publisher : John Wiley & Sons
ISBN 13 : 1786307642
Total Pages : 276 pages
Book Rating : 4.7/5 (863 download)

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Book Synopsis Tools, Languages, Methodologies for Representing Semantics on the Web of Things by : Shikha Mehta

Download or read book Tools, Languages, Methodologies for Representing Semantics on the Web of Things written by Shikha Mehta and published by John Wiley & Sons. This book was released on 2022-10-11 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a guide to the combination of the Internet of Things (IoT) and the Semantic Web, covering a variety of tools, technologies and applications that serve the myriad needs of the researchers in this field. It provides a multi dimensional view of the concepts, tools, techniques and issues that are involved in the development of semantics for the Web of Things. The various aspects studied in this book include Multi-Model Multi-Platform (SHM3P) databases for the IoT, clustering techniques for discovery services for the semantic IoT, dynamic security testing methods for the Semantic Web of Things, Semantic Web-enabled IoT integration for a smart city, IoT security issues, the role of the Semantic Web of Things in Industry 4.0, the integration of the Semantic Web and the IoT for e-health, smart healthcare systems to monitor patients, Semantic Web-based ontologies for the water domain, science fiction and searching for a job.

Artificial Intelligence Solutions for Global Health and Disaster Response: Challenges and Opportunities

Author : Tetyana Chumachenko
Publisher : Frontiers Media SA
ISBN 13 : 2832553931
Total Pages : 309 pages
Book Rating : 4.8/5 (325 download)

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Book Synopsis Artificial Intelligence Solutions for Global Health and Disaster Response: Challenges and Opportunities by : Tetyana Chumachenko

Download or read book Artificial Intelligence Solutions for Global Health and Disaster Response: Challenges and Opportunities written by Tetyana Chumachenko and published by Frontiers Media SA. This book was released on 2024-09-02 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) has shown promise as an effective tool in disaster preparedness and response, providing a unique perspective on some of the most urgent health challenges. Rapid advances in AI technology can potentially revolutionize the way how we respond to emergencies and disasters that affect the world's health, including early warning systems, resource allocation, and real-time decision-making. This Research Topic aims to explore the latest developments in AI and its applications in global health and disaster response, providing a comprehensive overview of the potential and challenges of AI in improving health outcomes in crises. This Research Topic will bring together leading researchers, practitioners, and policymakers in global health and disaster response to share their experiences and insights on how AI can be leveraged to improve response efforts and enhance healthcare delivery.

Ontology-Based Information Retrieval for Healthcare Systems

Author : Vishal Jain
Publisher : John Wiley & Sons
ISBN 13 : 1119641381
Total Pages : 384 pages
Book Rating : 4.1/5 (196 download)

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Book Synopsis Ontology-Based Information Retrieval for Healthcare Systems by : Vishal Jain

Download or read book Ontology-Based Information Retrieval for Healthcare Systems written by Vishal Jain and published by John Wiley & Sons. This book was released on 2020-07-29 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the advancements of semantic web, ontology has become the crucial mechanism for representing concepts in various domains. For research and dispersal of customized healthcare services, a major challenge is to efficiently retrieve and analyze individual patient data from a large volume of heterogeneous data over a long time span. This requirement demands effective ontology-based information retrieval approaches for clinical information systems so that the pertinent information can be mined from large amount of distributed data. This unique and groundbreaking book highlights the key advances in ontology-based information retrieval techniques being applied in the healthcare domain and covers the following areas: Semantic data integration in e-health care systems Keyword-based medical information retrieval Ontology-based query retrieval support for e-health implementation Ontologies as a database management system technology for medical information retrieval Information integration using contextual knowledge and ontology merging Collaborative ontology-based information indexing and retrieval in health informatics An ontology-based text mining framework for vulnerability assessment in health and social care An ontology-based multi-agent system for matchmaking patient healthcare monitoring A multi-agent system for querying heterogeneous data sources with ontologies for reducing cost of customized healthcare systems A methodology for ontology based multi agent systems development Ontology based systems for clinical systems: validity, ethics and regulation

Applied Machine Learning and Data Analytics

Author : M. A. Jabbar
Publisher : Springer Nature
ISBN 13 : 3031554868
Total Pages : 287 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Applied Machine Learning and Data Analytics by : M. A. Jabbar

Download or read book Applied Machine Learning and Data Analytics written by M. A. Jabbar and published by Springer Nature. This book was released on with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt:

5G-Based Smart Hospitals and Healthcare Systems

Author : Arun Kumar
Publisher : CRC Press
ISBN 13 : 1003823823
Total Pages : 267 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis 5G-Based Smart Hospitals and Healthcare Systems by : Arun Kumar

Download or read book 5G-Based Smart Hospitals and Healthcare Systems written by Arun Kumar and published by CRC Press. This book was released on 2023-12-13 with total page 267 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the increase in the development of the advanced cellular communication system, it is assumed that several sectors, such as the health industry, education, transport industry, business model, and so on, will rapidly grow. However, the requirements of the above-mentioned sectors are different and difficult to fulfill. Hence, 5G will be integral to several networks and will also need a unique management system for its successful rollout around the globe. 5G-Based Smart Hospitals and Healthcare Systems: Evaluation, Integration, and Deployment provides an overview of the role of advanced technologies in transforming the healthcare industry. It emphasizes the technical requirements of smart hospitals and the technologies associated with them along with explaining how technologies such as IoT, machine learning, and AI can be integrated with smart hospitals and 5G networks. The book evaluates several concerns such as privacy of data, infrastructure costs, and regular upgradability of technologies. Since the storage of information is a major concern with the implantation of 5G-based hospitals, this book will specifically address those issues along with examining the potential pitfalls of 5G-based hospitals and the factors that cause their failures. This book specifically targets professionals, academicians, engineers, researchers, management firms, technical institutes, R&D establishments, and individuals researching in the fields of 5G, healthcare, medical sensors, IoT, big data, and related fields. The main objectives of this book are to accumulate state-of-the-art IoT, 5G, AI, and machine learning-based approaches for resolving healthcare problems.

Anomaly Detection and Complex Event Processing Over IoT Data Streams

Author : Patrick Schneider
Publisher : Academic Press
ISBN 13 : 0128238194
Total Pages : 408 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Anomaly Detection and Complex Event Processing Over IoT Data Streams by : Patrick Schneider

Download or read book Anomaly Detection and Complex Event Processing Over IoT Data Streams written by Patrick Schneider and published by Academic Press. This book was released on 2022-01-07 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Anomaly Detection and Complex Event Processing over IoT Data Streams: With Application to eHealth and Patient Data Monitoring presents advanced processing techniques for IoT data streams and the anomaly detection algorithms over them. The book brings new advances and generalized techniques for processing IoT data streams, semantic data enrichment with contextual information at Edge, Fog and Cloud as well as complex event processing in IoT applications. The book comprises fundamental models, concepts and algorithms, architectures and technological solutions as well as their application to eHealth. Case studies, such as the bio-metric signals stream processing are presented –the massive amount of raw ECG signals from the sensors are processed dynamically across the data pipeline and classified with modern machine learning approaches including the Hierarchical Temporal Memory and Deep Learning algorithms. The book discusses adaptive solutions to IoT stream processing that can be extended to different use cases from different fields of eHealth, to enable a complex analysis of patient data in a historical, predictive and even prescriptive application scenarios. The book ends with a discussion on ethics, emerging research trends, issues and challenges of IoT data stream processing. - Provides the state-of-the-art in IoT Data Stream Processing, Semantic Data Enrichment, Reasoning and Knowledge - Covers extraction (Anomaly Detection) - Illustrates new, scalable and reliable processing techniques based on IoT stream technologies - Offers applications to new, real-time anomaly detection scenarios in the health domain

Intelligent Systems and Applications

Author : Kohei Arai
Publisher : Springer
ISBN 13 : 3030010570
Total Pages : 1308 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Intelligent Systems and Applications by : Kohei Arai

Download or read book Intelligent Systems and Applications written by Kohei Arai and published by Springer. This book was released on 2018-11-07 with total page 1308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gathering the Proceedings of the 2018 Intelligent Systems Conference (IntelliSys 2018), this book offers a remarkable collection of chapters covering a wide range of topics in intelligent systems and computing, and their real-world applications. The Conference attracted a total of 568 submissions from pioneering researchers, scientists, industrial engineers, and students from all around the world. These submissions underwent a double-blind peer review process, after which 194 (including 13 poster papers) were selected to be included in these proceedings. As intelligent systems continue to replace and sometimes outperform human intelligence in decision-making processes, they have made it possible to tackle many problems more effectively. This branching out of computational intelligence in several directions, and the use of intelligent systems in everyday applications, have created the need for such an international conference, which serves as a venue for reporting on cutting-edge innovations and developments. This book collects both theory and application-based chapters on all aspects of artificial intelligence, from classical to intelligent scope. Readers are sure to find the book both interesting and valuable, as it presents state-of-the-art intelligent methods and techniques for solving real-world problems, along with a vision of future research directions.

IoT and Cloud Computing for Societal Good

Author : Jitendra Kumar Verma
Publisher : Springer Nature
ISBN 13 : 303073885X
Total Pages : 332 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis IoT and Cloud Computing for Societal Good by : Jitendra Kumar Verma

Download or read book IoT and Cloud Computing for Societal Good written by Jitendra Kumar Verma and published by Springer Nature. This book was released on 2021-12-26 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers the state-of-the-art for industrial application of scientific and practical research in the Cloud and IoT paradigms to benefit society. The book first aims to discuss and outline various aspects of tackling climate change. The authors then discuss how Cloud and IoT can help for digital health and learning from industrial aspects. The next part of book discusses technical improvements in the fields of security and privacy. The book also covers Smart Homes and IoT in agriculture. The book is targeted towards advancing undergraduate, graduate, and post graduate students, researchers, academicians, policymakers, various government officials, NGOs, and industry research professionals who are currently working in the field of science and technology either directly or indirectly to benefit common masses.

IoT in Healthcare and Ambient Assisted Living

Author : Gonçalo Marques
Publisher : Springer Nature
ISBN 13 : 9811598975
Total Pages : 375 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis IoT in Healthcare and Ambient Assisted Living by : Gonçalo Marques

Download or read book IoT in Healthcare and Ambient Assisted Living written by Gonçalo Marques and published by Springer Nature. This book was released on 2021-01-04 with total page 375 pages. Available in PDF, EPUB and Kindle. Book 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.

eHealth 360°

Author : Kostas Giokas
Publisher : Springer
ISBN 13 : 3319496557
Total Pages : 515 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis eHealth 360° by : Kostas Giokas

Download or read book eHealth 360° written by Kostas Giokas and published by Springer. This book was released on 2016-11-29 with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the International Summit on Electronic Healthcare, eHealth 360°, held in Budapest, Hungary, in June 2016. The 55 revised full papers presented along with 9 short papers were carefully reviewed and selected from 81 submissions. The papers represent the latest results from the co-located conferences as the track on games for wellbeing, the track on wearables in healthcare, the track on personal, pervasive and mobile health, the track on IoT and big data technologies for healthcare, the track on mobile medical multimedia technologies, applications and services and the track on ambient assisted living technologies based on IoT.

Innovations in Smart Cities Applications Volume 4

Author : Mohamed Ben Ahmed
Publisher : Springer Nature
ISBN 13 : 3030668401
Total Pages : 1530 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Innovations in Smart Cities Applications Volume 4 by : Mohamed Ben Ahmed

Download or read book Innovations in Smart Cities Applications Volume 4 written by Mohamed Ben Ahmed and published by Springer Nature. This book was released on 2021-02-12 with total page 1530 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings book is the fourth edition of a series of works which features emergent research trends and recent innovations related to smart city presented at the 5th International Conference on Smart City Applications SCA20 held in Safranbolu, Turkey. This book is composed of peer-reviewed chapters written by leading international scholars in the field of smart cities from around the world. This book covers all the smart city topics including Smart Citizenship, Smart Education, Smart Mobility, Smart Healthcare, Smart Mobility, Smart Security, Smart Earth Environment & Agriculture, Smart Economy, Smart Factory and Smart Recognition Systems. This book contains a special section intended for Covid-19 pandemic researches. This book edition is an invaluable resource for courses in computer science, electrical engineering and urban sciences for sustainable development.

Semantic Web for Effective Healthcare Systems

Author : Vishal Jain
Publisher : John Wiley & Sons
ISBN 13 : 1119764157
Total Pages : 352 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Semantic Web for Effective Healthcare Systems by : Vishal Jain

Download or read book Semantic Web for Effective Healthcare Systems written by Vishal Jain and published by John Wiley & Sons. This book was released on 2021-11-12 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: SEMANTIC WEB FOR EFFECTIVE HEALTHCARE SYSTEMS The book summarizes the trends and current research advances in web semantics, delineating the existing tools, techniques, methodologies, and research solutions Semantic Web technologies have the opportunity to transform the way healthcare providers utilize technology to gain insights and knowledge from their data and make treatment decisions. Both Big Data and Semantic Web technologies can complement each other to address the challenges and add intelligence to healthcare management systems. The aim of this book is to analyze the current status on how the semantic web is used to solve health data integration and interoperability problems, and how it provides advanced data linking capabilities that can improve search and retrieval of medical data. Chapters analyze the tools and approaches to semantic health data analysis and knowledge discovery. The book discusses the role of semantic technologies in extracting and transforming healthcare data before storing it in repositories. It also discusses different approaches for integrating heterogeneous healthcare data. This innovative book offers: The first of its kind and highlights only the ontology driven information retrieval mechanisms and techniques being applied to healthcare as well as clinical information systems; Presents a comprehensive examination of the emerging research in areas of the semantic web; Discusses studies on new research areas including ontological engineering, semantic annotation and semantic sentiment analysis; Helps readers understand key concepts in semantic web applications for the biomedical engineering and healthcare fields; Includes coverage of key application areas of the semantic web. Audience: Researchers and graduate students in computer science, biomedical engineering, electronic and software engineering, as well as industry scientific researchers, clinicians, and systems managers in biomedical fields.

Semantic Web for Effective Healthcare Systems

Author : Vishal Jain
Publisher : John Wiley & Sons
ISBN 13 : 1119762294
Total Pages : 356 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Semantic Web for Effective Healthcare Systems by : Vishal Jain

Download or read book Semantic Web for Effective Healthcare Systems written by Vishal Jain and published by John Wiley & Sons. This book was released on 2021-12-09 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: SEMANTIC WEB FOR EFFECTIVE HEALTHCARE SYSTEMS The book summarizes the trends and current research advances in web semantics, delineating the existing tools, techniques, methodologies, and research solutions Semantic Web technologies have the opportunity to transform the way healthcare providers utilize technology to gain insights and knowledge from their data and make treatment decisions. Both Big Data and Semantic Web technologies can complement each other to address the challenges and add intelligence to healthcare management systems. The aim of this book is to analyze the current status on how the semantic web is used to solve health data integration and interoperability problems, and how it provides advanced data linking capabilities that can improve search and retrieval of medical data. Chapters analyze the tools and approaches to semantic health data analysis and knowledge discovery. The book discusses the role of semantic technologies in extracting and transforming healthcare data before storing it in repositories. It also discusses different approaches for integrating heterogeneous healthcare data. This innovative book offers: The first of its kind and highlights only the ontology driven information retrieval mechanisms and techniques being applied to healthcare as well as clinical information systems; Presents a comprehensive examination of the emerging research in areas of the semantic web; Discusses studies on new research areas including ontological engineering, semantic annotation and semantic sentiment analysis; Helps readers understand key concepts in semantic web applications for the biomedical engineering and healthcare fields; Includes coverage of key application areas of the semantic web. Audience: Researchers and graduate students in computer science, biomedical engineering, electronic and software engineering, as well as industry scientific researchers, clinicians, and systems managers in biomedical fields.

Anomaly Detection and Complex Event Processing Over IoT Data Streams

Author : Patrick Schneider
Publisher : Elsevier
ISBN 13 : 0128238186
Total Pages : 406 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Anomaly Detection and Complex Event Processing Over IoT Data Streams by : Patrick Schneider

Download or read book Anomaly Detection and Complex Event Processing Over IoT Data Streams written by Patrick Schneider and published by Elsevier. This book was released on 2022-01-19 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: Anomaly Detection and Complex Event Processing over IoT Data Streams: With Application to eHealth and Patient Data Monitoring presents advanced processing techniques for IoT data streams and the anomaly detection algorithms over them. The book brings new advances and generalized techniques for processing IoT data streams, semantic data enrichment with contextual information at Edge, Fog and Cloud as well as complex event processing in IoT applications. The book comprises fundamental models, concepts and algorithms, architectures and technological solutions as well as their application to eHealth. Case studies, such as the bio-metric signals stream processing are presented -the massive amount of raw ECG signals from the sensors are processed dynamically across the data pipeline and classified with modern machine learning approaches including the Hierarchical Temporal Memory and Deep Learning algorithms. The book discusses adaptive solutions to IoT stream processing that can be extended to different use cases from different fields of eHealth, to enable a complex analysis of patient data in a historical, predictive and even prescriptive application scenarios. The book ends with a discussion on ethics, emerging research trends, issues and challenges of IoT data stream processing. Provides the state-of-the-art in IoT Data Stream Processing, Semantic Data Enrichment, Reasoning and Knowledge Covers extraction (Anomaly Detection) Illustrates new, scalable and reliable processing techniques based on IoT stream technologies Offers applications to new, real-time anomaly detection scenarios in the health domain