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Healthcare Paradigms In The Internet Of Things Ecosystem

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Healthcare Paradigms in the Internet of Things Ecosystem

Healthcare Paradigms in the Internet of Things Ecosystem Book
Author : Valentina Emilia Balas,Souvik Pal
Publisher : Academic Press
Release : 2020-11-07
ISBN : 0128199202
Language : En, Es, Fr & De

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Book Description :

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

Healthcare Paradigms in the Internet of Things Ecosystem

Healthcare Paradigms in the Internet of Things Ecosystem Book
Author : Valentina Emilia Balas,Souvik Pal
Publisher : Academic Press
Release : 2020-11-25
ISBN : 0128196645
Language : En, Es, Fr & De

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Book Description :

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

Principles of Internet of Things IoT Ecosystem Insight Paradigm

Principles of Internet of Things  IoT  Ecosystem  Insight Paradigm Book
Author : Sheng-Lung Peng,Souvik Pal,Lianfen Huang
Publisher : Springer Nature
Release : 2019-11-13
ISBN : 3030335968
Language : En, Es, Fr & De

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Book Description :

This book discusses the evolution of future-generation technologies through the Internet of things, bringing together all the related technologies on a single platform to offer valuable insights for undergraduate and postgraduate students, researchers, academics and industry practitioners. The book uses data, network engineering and intelligent decision- support system-by-design principles to design a reliable IoT-enabled ecosystem and to implement cyber-physical pervasive infrastructure solutions. It takes readers on a journey that begins with understanding the insight paradigm of IoT-enabled technologies and how it can be applied. It walks readers through engaging with real-time challenges and building a safe infrastructure for IoT-based, future-generation technologies. The book helps researchers and practitioners to understand the design architecture through IoT and the state of the art in IoT countermeasures. It also highlights the differences between heterogeneous platforms in IoT-enabled infrastructure and traditional ad hoc or infrastructural networks, and provides a comprehensive discussion on functional frameworks for IoT, object identification, IoT domain model, RFID technology, wearable sensors, WBAN, IoT semantics, knowledge extraction, and security and privacy issues in IoT-based ecosystems. Written by leading international experts, it explores IoT-enabled insight paradigms, which are utilized for the future benefit of humans. It also includes references to numerous works. Divided into stand-alone chapters, this highly readable book is intended for specialists, researchers, graduate students, designers, experts, and engineers involved in research on healthcare-related issues.

5G IoT and Edge Computing for Smart Healthcare

5G IoT and Edge Computing for Smart Healthcare Book
Author : Akash Kumar Bhoi,Victor Hugo Costa de Albuquerque,Samarendra Nath Sur,Paolo Barsocchi
Publisher : Academic Press
Release : 2022-04-01
ISBN : 0323906648
Language : En, Es, Fr & De

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Book Description :

5G IoT and Edge Computing for Smart Healthcare addresses the importance of a 5G IoT and Edge-Cognitive-Computing-based system for the successful implementation and realization of a smart-healthcare system. The book provides insights on 5G technologies, along with intelligent processing algorithms/processors that have been adopted for processing the medical data that would assist in addressing the challenges in computer-aided diagnosis and clinical risk analysis on a real-time basis. Each chapter is self-sufficient, solving real-time problems through novel approaches that help the audience acquire the right knowledge. With the progressive development of medical and communication - computer technologies, the healthcare system has seen a tremendous opportunity to support the demand of today's new requirements. Focuses on the advancement of 5G in terms of its security and privacy aspects, which is very important in health care systems Address advancements in signal processing and, more specifically, the cognitive computing algorithm to make the system more real-time Gives insights into various information-processing models and the architecture of layers to realize a 5G based smart health care system

Artificial Intelligence based Internet of Things Systems

Artificial Intelligence based Internet of Things Systems Book
Author : Souvik Pal,Debashis De,Rajkumar Buyya
Publisher : Springer Nature
Release : 2022-01-11
ISBN : 3030870596
Language : En, Es, Fr & De

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Book Description :

The book discusses the evolution of future generation technologies through Internet of Things (IoT) in the scope of Artificial Intelligence (AI). The main focus of this volume is to bring all the related technologies in a single platform, so that undergraduate and postgraduate students, researchers, academicians, and industry people can easily understand the AI algorithms, machine learning algorithms, and learning analytics in IoT-enabled technologies. This book uses data and network engineering and intelligent decision support system-by-design principles to design a reliable AI-enabled IoT ecosystem and to implement cyber-physical pervasive infrastructure solutions. This book brings together some of the top IoT-enabled AI experts throughout the world who contribute their knowledge regarding different IoT-based technology aspects.

Machine Learning for Critical Internet of Medical Things

Machine Learning for Critical Internet of Medical Things Book
Author : Fadi Al-Turjman,Anand Nayyar
Publisher : Springer Nature
Release : 2022
ISBN : 3030809285
Language : En, Es, Fr & De

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Book Description :

This book discusses the applications, challenges, and future trends of machine learning in medical domain, including both basic and advanced topics. The book presents how machine learning is helpful in smooth conduction of administrative processes in hospitals, in treating infectious diseases, and in personalized medical treatments. The authors show how machine learning can also help make fast and more accurate disease diagnoses, easily identify patients, help in new types of therapies or treatments, model small-molecule drugs in pharmaceutical sector, and help with innovations via integrated technologies such as artificial intelligence as well as deep learning. The authors show how machine learning also improves the physicians and doctors medical capabilities to better diagnosis their patients. This book illustrates advanced, innovative techniques, frameworks, concepts, and methodologies of machine learning that will enhance the efficiency and effectiveness of the healthcare system. Provides researchers in machine and deep learning with a conceptual understanding of various methodologies of implementing the technologies in medical areas; Discusses the role machine learning and IoT play into locating different virus and diseases across the globe, such as COVID-19, Ebola, and cervical cancer; Includes fundamentals and advances in machine learning in the medical field, supported by significant case studies and practical applications.

IoT and IoE Driven Smart Cities

IoT and IoE Driven Smart Cities Book
Author : Samarendra Nath Sur,Valentina Emilia Balas,Akash Kumar Bhoi,Anand Nayyar
Publisher : Springer Nature
Release : 2021-12-15
ISBN : 3030827151
Language : En, Es, Fr & De

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Book Description :

This book provides detail on applying Internet of Things (IoT) and Internet of Everything (IoE) in smart cities and their design aspects related to physical and network layer models. The authors explore the possibilities of utilizing communication technologies like multi-input multi-output (MIMO), narrow-band IoT (NB-IoT), ultra-reliable low latency communications (URLLC), enhanced mobile broadband (eMBB), and massive machine-type communications (mMTC) for successful implementation of the IoT/IoE. The authors also address the development and advancement in cloud computing to support IoT and IoE. Research on the challenges and future predictions for efficiently implementing and exploring the benefits of smart cities are also explored. The book pertains to researchers, academics, and professionals in the field. Discusses the applicability of Internet of Things (IoT) and Internet of Everything (IoE) for smart cities; Addresses different protocols, networks, and technologies related to the implementation of IoT and IoE for smart cities; Provides a detailed overview on the physical and network layer design and signal processing algorithms related to IoT and IoE.

Convergence of Deep Learning and Artificial Intelligence in Internet of Things

Convergence of Deep Learning and Artificial Intelligence in Internet of Things Book
Author : Ajay Rana,Arun Kumar Rana,Sachin Dhawan,Sharad Sharma,Ahmed A Elngar
Publisher : CRC Press
Release : 2022-12-20
ISBN : 1000822087
Language : En, Es, Fr & De

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Book Description :

This book covers advances and applications of smart technologies including the Internet of Things (IoT), artificial intelligence, and deep learning in areas such as manufacturing, production, renewable energy, and healthcare. It also covers wearable and implantable biomedical devices for healthcare monitoring, smart surveillance, and monitoring applications such as the use of an autonomous drone for disaster management and rescue operations. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the areas such as electrical engineering, electronics and communications engineering, computer engineering, and information technology. • Covers concepts, theories, and applications of artificial intelligence and deep learning, from the perspective of the Internet of Things. • Discusses powers predictive analysis, predictive maintenance, and automated processes for making manufacturing plants more efficient, profitable, and safe. • Explores the importance of blockchain technology in the Internet of Things security issues. • Discusses key deep learning concepts including trust management, identity management, security threats, access control, and privacy. • Showcases the importance of intelligent algorithms for cloud-based Internet of Things applications. This text emphasizes the importance of innovation and improving the profitability of manufacturing plants using smart technologies such as artificial intelligence, deep learning, and the Internet of Things. It further discusses applications of smart technologies in diverse sectors such as agriculture, smart home, production, manufacturing, transport, and healthcare.

Intelligent Internet of Things for Healthcare and Industry

Intelligent Internet of Things for Healthcare and Industry Book
Author : Uttam Ghosh,Chinmay Chakraborty,Lalit Garg,Gautam Srivastava
Publisher : Springer Nature
Release : 2022
ISBN : 3030814734
Language : En, Es, Fr & De

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Book Description :

This book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of machine learning-based data analytics of IoT infrastructures. This book is focused on the emerging trends, strategies, and applications of IoT in both healthcare and industry data analytics perspectives. The data analytics discussed are relevant for healthcare and industry to meet many technical challenges and issues that need to be addressed to realize this potential. The IoT discussed helps to design and develop the intelligent medical and industry solutions assisted by data analytics and machine learning. At the end of every chapter readers are encouraged to check their understanding by means of brainstorming summary, discussion, exercises and solutions. Focused on the emerging trends, strategies, and applications of IoT in both healthcare and industry data analytics perspectives; Promotes an exchange of research across disciplines on the design and investigation of machine learning-based data analytics of IoT infrastructures; Features case studies emphasizing social and research perspectives on cyber-physical systems, data analytics, intelligence and security.

Implementation of Smart Healthcare Systems using AI IoT and Blockchain

Implementation of Smart Healthcare Systems using AI  IoT  and Blockchain Book
Author : Chinmay Chakraborty,Subhendukumar Pani,Mohd Abdul Ahad,Qin Xin
Publisher : Academic Press
Release : 2022-09-30
ISBN : 0323919367
Language : En, Es, Fr & De

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Book Description :

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

The Fusion of Internet of Things Artificial Intelligence and Cloud Computing in Health Care

The Fusion of Internet of Things  Artificial Intelligence  and Cloud Computing in Health Care Book
Author : Patrick Siarry,M.A. Jabbar,Rajanikanth Aluvalu,Ajith Abraham,Ana Madureira
Publisher : Springer Nature
Release : 2021-08-11
ISBN : 3030752208
Language : En, Es, Fr & De

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Book Description :

This book reviews the convergence technologies like cloud computing, artificial intelligence (AI) and Internet of Things (IoT) in healthcare and how they can help all stakeholders in the healthcare sector. The book is a proficient guide on the relationship between AI, IoT and healthcare and gives examples into how IoT is changing all aspects of the healthcare industry. Topics include remote patient monitoring, the telemedicine ecosystem, pattern imaging analytics using AI, disease identification and diagnosis using AI, robotic surgery, prediction of epidemic outbreaks, and more. The contributors include applications and case studies across all areas of computational intelligence in healthcare data. The authors also include workflow in IoT-enabled healthcare technologies and explore privacy and security issues in healthcare-based IoT.

Quality of Healthcare in the Aftermath of the COVID 19 Pandemic

Quality of Healthcare in the Aftermath of the COVID 19 Pandemic Book
Author : Moumtzoglou, Anastasius
Publisher : IGI Global
Release : 2021-12-10
ISBN : 1799891992
Language : En, Es, Fr & De

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Book Description :

The COVID-19 pandemic has put massive stress on healthcare professionals’ formal training, their creed to do no harm, and the patient safety movement. COVID-19 affects all aspects of daily life and healthcare’s organizational culture and values. Healthcare institutions experience absenteeism, change in commerce patterns, and interrupted supply/delivery in this context. It has also revealed the extensive amounts of data needed for population health management, as well as the opportunities afforded by mainstreaming telehealth and virtual care capabilities, thus making the implementation of health IT essential in the post-pandemic era. Quality of Healthcare in the Aftermath of the COVID-19 Pandemic clarifies how healthcare professionals might provide their services differently than treating a patient through its vicinity with multiple providers. It examines the notion that healthcare education requires a pack of healthcare workers from varied educational backgrounds and training levels for the nuances of a disease. Covering topics such as blockchain technology, power density analysis, and supply chain, this book is a valuable resource for undergraduate and extended degree program students, graduate students of healthcare quality and health services management, healthcare managers, health professionals, researchers, professors, and academicians.

Artificial Intelligence for Innovative Healthcare Informatics

Artificial Intelligence for Innovative Healthcare Informatics Book
Author : Shabir Ahmad Parah,Mamoon Rashid,Vijayakumar Varadarajan
Publisher : Springer Nature
Release : 2022-05-23
ISBN : 3030965694
Language : En, Es, Fr & De

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Book Description :

There are several popular books published in Healthcare Computational Informatics like Computational Bioengineering and Bioinformatics (2020), Springer; Health Informatics (2017), Springer; Health Informatics Vision: From Data via Information to Knowledge (2019), IOS Press; Data Analytics in Biomedical Engineering and Healthcare (2020), Elsevier. However, in all these mentioned books, the challenges in Biomedical Imaging are solved in one dimension by use of any specific technology like Image Processing, Machine Learning or Computer Aided Systems. In this book, the book it has been attempted to bring all technologies related to computational analytics together and apply them on Biomedical Imaging.

Antenna Design for Narrowband IoT Design Analysis and Applications

Antenna Design for Narrowband IoT  Design  Analysis  and Applications Book
Author : Pattanaik, Balachandra,Saravanan, M.,Saravanakumar, U.,T R, Ganesh Babu
Publisher : IGI Global
Release : 2022-03-11
ISBN : 1799893170
Language : En, Es, Fr & De

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Book Description :

In internet of things (IoT) applications, wireless connectivity is a key factor, particularly those that need to be in transition, or where wired communication is not effective or practicable. For top-notch connectivity of the Narrowband IoT (NB-IoT) standard, the 900MHz frequency is generally used by most of the vendors. The radiation quality not only depends on the antenna geometry but on immediate surroundings. Additionally, the IoT product itself and the user of the product can strongly affect the resulting radiation pattern and other characteristics of the antenna. On the other hand, a suitable antenna should also have high efficiency and adequate bandwidth covering the desired frequency range. To take these effects into consideration, the whole IoT product must be included in the antenna simulations. Antenna Design for Narrowband IoT: Design, Analysis, and Applications provides the antenna design concept for narrowband internet of things applications, performs a detailed analysis of the antenna, and discusses the various antenna design concepts and structures. Covering a range of topics such as antenna design and antenna measurement systems, this book is ideal for industry professionals, research scholars, academicians, professors, and students.

Semantic Models in IoT and eHealth Applications

Semantic Models in IoT and eHealth Applications Book
Author : Sanju Mishra Tiwari,Fernando Ortiz Rodriguez,M.A. Jabbar
Publisher : Academic Press
Release : 2022-10-01
ISBN : 0323972268
Language : En, Es, Fr & De

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Book Description :

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

Artificial Intelligence and Machine Learning Methods in COVID 19 and Related Health Diseases

Artificial Intelligence and Machine Learning Methods in COVID 19 and Related Health Diseases Book
Author : Victor Chang,Harleen Kaur,Simon James Fong
Publisher : Springer Nature
Release : 2022-06-28
ISBN : 3031045971
Language : En, Es, Fr & De

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Book Description :

This Springer book provides a perfect platform to submit chapters that discuss the prospective developments and innovative ideas in artificial intelligence and machine learning techniques in the diagnosis of COVID-19. COVID-19 is a huge challenge to humanity and the medical sciences. So far as of today, we have been unable to find a medical solution (Vaccine). However, globally, we are still managing the use of technology for our work, communications, analytics, and predictions with the use of advancement in data science, communication technologies (5G & Internet), and AI. Therefore, we might be able to continue and live safely with the use of research in advancements in data science, AI, machine learning, mobile apps, etc., until we can find a medical solution such as a vaccine. We have selected eleven chapters after the vigorous review process. Each chapter has demonstrated the research contributions and research novelty. Each group of authors must fulfill strict requirements.

Transforming Management with AI Big Data and IoT

Transforming Management with AI  Big Data  and IoT Book
Author : Fadi Al-Turjman,Satya Prakash Yadav,Manoj Kumar,Vibhash Yadav,Thompson Stephan
Publisher : Springer Nature
Release : 2022
ISBN : 3030867498
Language : En, Es, Fr & De

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Book Description :

This book discusses the effect that artificial intelligence (AI) and Internet of Things (IoT) have on industry. The authors start by showing how the application of these technologies has already stretched across domains such as law, political science, policy, and economics and how it will soon permeate areas of autonomous transportation, education, and space exploration, only to name a few. The authors then discuss applications in a variety of industries. Throughout the volume, the authors provide detailed, well-illustrated treatments of each topic with abundant examples and exercises. This book provides relevant theoretical frameworks and the latest empirical research findings in various applications. The book is written for professionals who want to improve their understanding of the strategic role of trust at different levels of the information and knowledge society, that is, trust at the level of the global economy, of networks and organizations, of teams and work groups, of information systems and, finally, trust at the level of individuals as actors in the networked environments. Presents research in various industries and how artificial intelligence and Internet of Things is changing the landscape of business and management; Includes new and innovative features in artificial intelligence and IoT that can help in raising economic efficiency at both micro and macro levels; Examines case studies with tried and tested approaches to resolution of typical problems in each application of study.

6G Frontiers

6G Frontiers Book
Author : Chamitha de Alwis,Quoc-Viet Pham,Madhusanka Liyanage
Publisher : John Wiley & Sons
Release : 2022-12-20
ISBN : 1119862345
Language : En, Es, Fr & De

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Book Description :

6G Frontiers Enables readers to understand the exciting new technologies, architectural directions, technical aspects, and applications of 6G, plus legal and standardization approaches 6G Frontiers offers intelligent insight into the ongoing research trends, use cases, and key developmental technologies powering the upcoming 6G framework. The authors cover a myriad of important topics that intersect with 6G, such as hyper-intelligent networking, security, privacy, and trust, harmonized mobile networks, legal views, and standards initiatives. The work also explores the more extreme and controversial predictions surrounding 6G, such as hyper-connected smart cities, space tourism, and deep-sea tourism. Sample thought-provoking topics covered in the comprehensive work include: Evolution of mobile networks, from 0G to 6G, including the driving trends, requirements, and key enabling technologies of each generation Logistics of 6G networks, which are expected to offer peak data rates over 1 Tbps, imperceptible end-to-end delays (beneath 0.1 ms), and network availability and reliability rates beyond 99.99999% New technology requirements for 6G, such as Further enhanced Mobile Broadband (FeMBB), ultra-massive Machine-Type Communication (umMTC), Mobile BroadBand and Low-Latency (MBBLL), and massive Low-Latency Machine Type communication (mLLMT) Potential architectural directions of 6G, including zero-touch network and service management, intent-based networking, edge AI, intelligent network softwarization, and radio access networks A complete and modern resource for understanding the potential development, logistics, and implications of 6G networks, 6G Frontiers is a must-read reference for researchers, academics, and technology architects who wish to understand the cutting-edge progress that is being made towards better and faster wireless mobile technology.

Demystifying Big Data Machine Learning and Deep Learning for Healthcare Analytics

Demystifying Big Data  Machine Learning  and Deep Learning for Healthcare Analytics Book
Author : Pradeep N,Sandeep Kautish,Sheng-Lung Peng
Publisher : Academic Press
Release : 2021-06-25
ISBN : 0128220449
Language : En, Es, Fr & De

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Book Description :

Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization, especially in clinical healthcare. Various techniques, methodologies, and algorithms are presented in this book to organize data in a structured manner that will assist physicians in the care of patients and help biomedical engineers and computer scientists understand the impact of these techniques on healthcare analytics. The book is divided into two parts: Part 1 covers big data aspects such as healthcare decision support systems and analytics-related topics. Part 2 focuses on the current frameworks and applications of deep learning and machine learning, and provides an outlook on future directions of research and development. The entire book takes a case study approach, providing a wealth of real-world case studies in the application chapters to act as a foundational reference for biomedical engineers, computer scientists, healthcare researchers, and clinicians. Provides a comprehensive reference for biomedical engineers, computer scientists, advanced industry practitioners, researchers, and clinicians to understand and develop healthcare analytics using advanced tools and technologies Includes in-depth illustrations of advanced techniques via dataset samples, statistical tables, and graphs with algorithms and computational methods for developing new applications in healthcare informatics Unique case study approach provides readers with insights for practical clinical implementation

Knowledge Engineering for Modern Information Systems

Knowledge Engineering for Modern Information Systems Book
Author : Anand Sharma,Sandeep Kautish,Prateek Agrawal,Vishu Madaan,Charu Gupta,Saurav Nanda
Publisher : Walter de Gruyter GmbH & Co KG
Release : 2022-01-19
ISBN : 3110713632
Language : En, Es, Fr & De

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Book Description :

This book presents an extensive collection of the recent findings and innovative research in the information system and knowledge engineering domain. Knowledge engineering is a field within artificial intelligence that develops in particular systems that use knowledge, rather than data, to solve many computing problems, that would usually require high levels of human expertise.