Hybrid Artificial Intelligence And Iot In Healthcare

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Hybrid Artificial Intelligence and IoT in Healthcare

Author : Akash Kumar Bhoi,Pradeep Kumar Mallick,Mihir Narayana Mohanty,Victor Hugo C. de Albuquerque
Publisher : Springer Nature
Page : 328 pages
File Size : 49,6 Mb
Release : 2021-07-22
Category : Technology & Engineering
ISBN : 9789811629723

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Hybrid Artificial Intelligence and IoT in Healthcare by Akash Kumar Bhoi,Pradeep Kumar Mallick,Mihir Narayana Mohanty,Victor Hugo C. de Albuquerque Pdf

This book covers applications for hybrid artificial intelligence (AI) and Internet of Things (IoT) for integrated approach and problem solving in the areas of radiology, drug interactions, creation of new drugs, imaging, electronic health records, disease diagnosis, telehealth, and mobility-related problems in healthcare. The book discusses the convergence of AI and the hybrid approaches in healthcare which optimizes the possible solutions and better treatment. Internet of Things (IoT) in healthcare is the next-gen technologies which automate the healthcare facility by mobility solutions are discussed in detail. It also discusses hybrid AI with bio-inspired techniques, genetic algorithm, neuro-fuzzy algorithms, and soft computing approaches which significantly improves the prediction of critical cardiovascular abnormalities and other healthcare solutions to the ongoing challenging research.

Hybrid Artificial Intelligence and IoT in Healthcare

Author : Akash Kumar Bhoi,Pradeep Kumar Mallick,Mihir Narayana Mohanty,Victor Hugo C. de Albuquerque
Publisher : Unknown
Page : 0 pages
File Size : 44,9 Mb
Release : 2021
Category : Electronic
ISBN : 9811629730

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Hybrid Artificial Intelligence and IoT in Healthcare by Akash Kumar Bhoi,Pradeep Kumar Mallick,Mihir Narayana Mohanty,Victor Hugo C. de Albuquerque Pdf

This book covers applications for hybrid artificial intelligence (AI) and Internet of Things (IoT) for integrated approach and problem solving in the areas of radiology, drug interactions, creation of new drugs, imaging, electronic health records, disease diagnosis, telehealth, and mobility-related problems in healthcare. The book discusses the convergence of AI and the hybrid approaches in healthcare which optimizes the possible solutions and better treatment. Internet of Things (IoT) in healthcare is the next-gen technologies which automate the healthcare facility by mobility solutions are discussed in detail. It also discusses hybrid AI with bio-inspired techniques, genetic algorithm, neuro-fuzzy algorithms, and soft computing approaches which significantly improves the prediction of critical cardiovascular abnormalities and other healthcare solutions to the ongoing challenging research.

Artificial Intelligence and Internet of Things

Author : Lalit Mohan Goyal,Tanzila Saba,Amjad Rehman,Souad Larabi-Marie-Sainte
Publisher : CRC Press
Page : 406 pages
File Size : 55,9 Mb
Release : 2021-08-25
Category : Health & Fitness
ISBN : 9781000386257

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Artificial Intelligence and Internet of Things by Lalit Mohan Goyal,Tanzila Saba,Amjad Rehman,Souad Larabi-Marie-Sainte Pdf

This book reveals the applications of AI and IoT in smart healthcare and medical systems. It provides core principles, algorithms, protocols, emerging trends, security problems, and the latest e-healthcare services findings. The book also provides case studies and discusses how AI and IoT applications such as wireless devices, sensors, and deep learning could play a major role in assisting patients, doctors, and pharmaceutical staff. It focuses on how to use AI and IoT to keep patients safe and healthy and, at the same time, empower physicians to deliver superlative care. This book is written for researchers and practitioners working in the information technology, computer science, and medical equipment manufacturing industry for products and services having basic- and high-level AI and IoT applications. The book is also a useful guide for academic researchers and students.

Integrating Artificial Intelligence and IoT for Advanced Health Informatics

Author : Carmela Comito,Agostino Forestiero,Ester Zumpano
Publisher : Springer Nature
Page : 188 pages
File Size : 48,8 Mb
Release : 2022-02-10
Category : Technology & Engineering
ISBN : 9783030911812

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Integrating Artificial Intelligence and IoT for Advanced Health Informatics by Carmela Comito,Agostino Forestiero,Ester Zumpano Pdf

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.

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

Author : Patrick Siarry,M.A. Jabbar,Rajanikanth Aluvalu,Ajith Abraham,Ana Madureira
Publisher : Springer Nature
Page : 270 pages
File Size : 51,7 Mb
Release : 2021-08-11
Category : Technology & Engineering
ISBN : 9783030752200

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The Fusion of Internet of Things, Artificial Intelligence, and Cloud Computing in Health Care by Patrick Siarry,M.A. Jabbar,Rajanikanth Aluvalu,Ajith Abraham,Ana Madureira Pdf

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.

Artificial Intelligence for the Internet of Health Things

Author : K. Shankar,Eswaran Perumal,Deepak Gupta
Publisher : CRC Press
Page : 225 pages
File Size : 51,9 Mb
Release : 2021-05-10
Category : Computers
ISBN : 9781000374339

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Artificial Intelligence for the Internet of Health Things by K. Shankar,Eswaran Perumal,Deepak Gupta Pdf

This book discusses research in Artificial Intelligence for the Internet of Health Things. It investigates and explores the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in design, implementation, and optimization of challenging healthcare solutions. This book features a wide range of topics such as AI techniques, IoT, cloud, wearables, and secured data transmission. Written for a broad audience, this book will be useful for clinicians, health professionals, engineers, technology developers, IT consultants, researchers, and students interested in the AI-based healthcare applications. Provides a deeper understanding of key AI algorithms and their use and implementation within the wider healthcare sector Explores different disease diagnosis models using machine learning, deep learning, healthcare data analysis, including machine learning, and data mining and soft computing algorithms Discusses detailed IoT, wearables, and cloud-based disease diagnosis model for intelligent systems and healthcare Reviews different applications and challenges across the design, implementation, and management of intelligent systems and healthcare data networks Introduces a new applications and case studies across all areas of AI in healthcare data K. Shankar (Member, IEEE) is a Postdoctoral Fellow of the Department of Computer Applications, Alagappa University, Karaikudi, India. Eswaran Perumal is an Assistant Professor of the Department of Computer Applications, Alagappa University, Karaikudi, India. Dr. Deepak Gupta is an Assistant Professor of the Department Computer Science & Engineering, Maharaja Agrasen Institute of Technology (GGSIPU), Delhi, India.

Internet of Things and Big Data Technologies for Next Generation Healthcare

Author : Chintan Bhatt,Nilanjan Dey,Amira S. Ashour
Publisher : Springer
Page : 388 pages
File Size : 52,6 Mb
Release : 2017-01-01
Category : Technology & Engineering
ISBN : 9783319497365

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Internet of Things and Big Data Technologies for Next Generation Healthcare by Chintan Bhatt,Nilanjan Dey,Amira S. Ashour Pdf

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.

Advanced Healthcare Systems

Author : Rohit Tanwar,S. Balamurugan,Rakesh Kumar Saini,Vishal Bharti,Premkumar Chithaluru
Publisher : John Wiley & Sons
Page : 384 pages
File Size : 45,6 Mb
Release : 2022-02-01
Category : Computers
ISBN : 9781119769279

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Advanced Healthcare Systems by Rohit Tanwar,S. Balamurugan,Rakesh Kumar Saini,Vishal Bharti,Premkumar Chithaluru Pdf

ADVANCED HEALTHCARE SYSTEMS This book offers a complete package involving the incubation of machine learning, AI, and IoT in healthcare that is beneficial for researchers, healthcare professionals, scientists, and technologists. The applications and challenges of machine learning and artificial intelligence in the Internet of Things (IoT) for healthcare applications are comprehensively covered in this book. IoT generates big data of varying data quality; intelligent processing and analysis of this big data are the keys to developing smart IoT applications, thereby making space for machine learning (ML) applications. Due to its computational tools that can substitute for human intelligence in the performance of certain tasks, artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Since IoT platforms provide an interface to gather data from various devices, they can easily be deployed into AI/ML systems. The value of AI in this context is its ability to quickly mesh insights from data and automatically identify patterns and detect anomalies in the data that smart sensors and devices generate—information such as temperature, pressure, humidity, air quality, vibration, and sound—that can be really helpful to rapid diagnosis. Audience This book will be of interest to researchers in artificial intelligence, the Internet of Things, machine learning as well as information technologists working in the healthcare sector.

Deep Learning and IoT in Healthcare Systems

Author : Krishna Kant Singh,Akansha Singh,Jenn-Wei Lin,Ahmed A. Elngar
Publisher : CRC Press
Page : 333 pages
File Size : 46,5 Mb
Release : 2021-12-15
Category : Computers
ISBN : 9781000089189

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Deep Learning and IoT in Healthcare Systems by Krishna Kant Singh,Akansha Singh,Jenn-Wei Lin,Ahmed A. Elngar Pdf

This new volume discusses the applications and challenges of deep learning and the internet of things for applications in healthcare. It describes deep learning techniques in conjunction with IoT used by practitioners and researchers worldwide. The authors explore the convergence of IoT and deep learning to enable things to communicate, share information, and coordinate decisions. The book includes deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology. Chapters look at assistive devices in healthcare, alerting and detection devices, energy efficiency in using IoT, data mining for gathering health information for individuals with autism, IoT for mobile applications, and more. The text also offers mathematical and conceptual background that presents the latest technology as well as a selection of case studies.

Principles and Methods of Explainable Artificial Intelligence in Healthcare

Author : Albuquerque, Victor Hugo C. de,Srinivasu, P. Naga,Bhoi, Akash Kumar,Briones, Alfonso Gonza?lez
Publisher : IGI Global
Page : 347 pages
File Size : 44,7 Mb
Release : 2022-05-20
Category : Computers
ISBN : 9781668437926

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Principles and Methods of Explainable Artificial Intelligence in Healthcare by Albuquerque, Victor Hugo C. de,Srinivasu, P. Naga,Bhoi, Akash Kumar,Briones, Alfonso Gonza?lez Pdf

Explainable artificial intelligence is proficient in operating and analyzing the unconstrainted environment in fields like robotic medicine, robotic treatment, and robotic surgery, which rely on computational vision for analyzing complex situations. Explainable artificial intelligence is a well-structured customizable technology that makes it possible to generate promising unbiased outcomes. The model’s adaptability facilitates the management of heterogeneous healthcare data and the visualization of biological structures through virtual reality. Explainable artificial intelligence has newfound applications in the healthcare industry, such as clinical trial matching, continuous healthcare monitoring, probabilistic evolutions, and evidence-based mechanisms. Principles and Methods of Explainable Artificial Intelligence in Healthcare discusses explainable artificial intelligence and its applications in healthcare, providing a broad overview of state-of-the-art approaches for accurate analysis and diagnosis. The book also encompasses computational vision processing techniques that handle complex data like physiological information, electronic healthcare records, and medical imaging data that assist in earlier prediction. Covering topics such as neural networks and disease detection, this reference work is ideal for industry professionals, practitioners, academicians, researchers, scholars, instructors, and students.

Artificial Intelligence for Smart Healthcare

Author : Parul Agarwal,Kavita Khanna,Ahmed A Elngar,Ahmed J. Obaid,Zdzislaw Polkowski
Publisher : Springer Nature
Page : 527 pages
File Size : 52,5 Mb
Release : 2023-06-09
Category : Technology & Engineering
ISBN : 9783031236020

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Artificial Intelligence for Smart Healthcare by Parul Agarwal,Kavita Khanna,Ahmed A Elngar,Ahmed J. Obaid,Zdzislaw Polkowski Pdf

This book provides information on interdependencies of medicine and telecommunications engineering and how the two must rely on each other to effectively function in this era. The book discusses new techniques for medical service improvisation such as clear-cut views on medical technologies. The authors provide chapters on communication essentiality in healthcare, processing of medical amenities using medical images, the importance of data and information technology in medicine, and machine learning and artificial intelligence in healthcare. Authors include researchers, academics, and professionals in the field.

Augmented Intelligence in Healthcare: A Pragmatic and Integrated Analysis

Author : Sushruta Mishra,Hrudaya Kumar Tripathy,Pradeep Mallick,Khaled Shaalan
Publisher : Springer Nature
Page : 503 pages
File Size : 54,5 Mb
Release : 2022-04-19
Category : Technology & Engineering
ISBN : 9789811910760

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Augmented Intelligence in Healthcare: A Pragmatic and Integrated Analysis by Sushruta Mishra,Hrudaya Kumar Tripathy,Pradeep Mallick,Khaled Shaalan Pdf

The book discusses how augmented intelligence can increase the efficiency and speed of diagnosis in healthcare organizations. The concept of augmented intelligence can reflect the enhanced capabilities of human decision-making in clinical settings when augmented with computation systems and methods. It includes real-life case studies highlighting impact of augmented intelligence in health care. The book offers a guided tour of computational intelligence algorithms, architecture design, and applications of learning in healthcare challenges. It presents a variety of techniques designed to represent, enhance, and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. It also presents specific applications of augmented intelligence in health care, and architectural models and frameworks-based augmented solutions.

IoT in Healthcare Systems

Author : Piyush Kumar Shukla,Aditya Patel,Prashant Kumar Shukla,Prashant Parashar,Basant Tiwari
Publisher : CRC Press
Page : 231 pages
File Size : 55,5 Mb
Release : 2023-05-24
Category : Computers
ISBN : 9781000858815

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IoT in Healthcare Systems by Piyush Kumar Shukla,Aditya Patel,Prashant Kumar Shukla,Prashant Parashar,Basant Tiwari Pdf

Implementing new information technologies into the healthcare sector can provide alternatives to managing patients’ health records, systems, and improving the quality of care received. This book provides an overview of Internet of Things (IoT) technologies related to the healthcare field and covers the main advantages and disadvantages along with industry case studies. This edited volume covers required standardization and interoperability initiatives, various Artificial Intelligence and Machine Learning algorithms, and discusses how health technology can meet the challenge of improving quality of life regardless of social and financial status, gender, age, and location. The book presents real-time applications and case studies in the fields of engineering, computer science, IoT, and healthcare and provides many examples of successful IoT projects. The target audience for this edited volume includes researchers, practitioners, students, as well as key stakeholders involved in and working on healthcare engineering solutions.

Applied Informatics

Author : Hector Florez,Henry Gomez
Publisher : Springer Nature
Page : 474 pages
File Size : 51,7 Mb
Release : 2022-10-14
Category : Computers
ISBN : 9783031196478

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Applied Informatics by Hector Florez,Henry Gomez Pdf

This book constitutes the proceedings of the 5th International Conference on Applied Informatics, ICAI 2022, which took place in Arequipa, Peru, in October 2022. The 32 papers presented in this volume were carefully reviewed and selected from 90 submissions. The contributions are divided into the following thematic blocks: Artificial Intelligence; Data Analysis; Decision Systems; Health Care Information Systems; ICT-Enabled Social Innovation; Image Processing; Robotic Autonomy; Software Architectures; Software Design Engineering.