Practical Artificial Intelligence For Internet Of Medical Things

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Practical Artificial Intelligence for Internet of Medical Things

Ben Othman Soufiene,Chinmay Chakraborty,Faris A. Almalki
Practical Artificial Intelligence for Internet of Medical Things Book PDF

Author : Ben Othman Soufiene,Chinmay Chakraborty,Faris A. Almalki
Publisher : CRC Press
Page : 346 pages
File Size : 42,7 Mb
Release : 2023-02-28
Category : Computers
ISBN : 9781000831368

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Practical Artificial Intelligence for Internet of Medical Things by Ben Othman Soufiene,Chinmay Chakraborty,Faris A. Almalki Pdf

This book covers the fundamentals, applications, algorithms, protocols, emerging trends, problems, and research findings in the field of AI and IoT in smart healthcare. It includes case studies, implementation and management of smart healthcare systems using AI. Chapters focus on AI applications in Internet of Healthcare Things, provide working examples on how different types of healthcare data can be used to develop models and predict diseases using machine learning and AI, with the real-world examples. This book is aimed at Researchers and graduate students in Computer Engineering, Artificial Intelligence and Machine Learning, Biomedical Engineering, and Bioinformatics. Features: Focus on the Internet of Healthcare Things and innovative solutions developed for use in the application of healthcare services Discusses artificial intelligence applications, experiments, core concepts, and cutting-edge themes Demonstrates new approaches to analyzing medical data and identifying ailments using AI to improve overall quality of life Introduces fundamental concepts for designing the Internet of Healthcare Things solutions Includes pertinent case studies and applications This book is aimed at researchers and graduate students in Computer Engineering, Artificial Intelligence and Machine Learning, Biomedical Engineering, and Bioinformatics.

Practical Artificial Intelligence for Internet of Medical Things

Ben Othman Soufiene,Chinmay Chakraborty,Faris A. Almalki
Practical Artificial Intelligence for Internet of Medical Things Book PDF

Author : Ben Othman Soufiene,Chinmay Chakraborty,Faris A. Almalki
Publisher : Unknown
Page : 0 pages
File Size : 54,5 Mb
Release : 2023
Category : Electronic
ISBN : 1032325283

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Practical Artificial Intelligence for Internet of Medical Things by Ben Othman Soufiene,Chinmay Chakraborty,Faris A. Almalki Pdf

"This book covers the fundamentals, applications, algorithms, protocols, emerging trends, problems, and research findings in the field of AI and IoT in smart healthcare. It includes case studies, implementation and management of smart healthcare systems using AI. Chapters focus on AI applications in Internet of Healthcare Things, provide working examples on how different types of healthcare data can be used to develop models and predict diseases using machine learning and AI, with the real-world examples. This book is aimed at Researchers and graduate students in Computer Engineering, Artificial Intelligence and Machine Learning, Biomedical Engineering, and Bioinformatics. Features: Focus on the Internet of Healthcare Things and innovative solutions developed for use in the application of healthcare services. Discusses artificial intelligence applications, experiments, core concepts, and cutting-edge themes. Demonstrates new approaches to analyzing medical data and identifying ailments using AI to improve overall quality of life. Introduces fundamental concepts for designing the Internet of Healthcare Things solutions. Includes pertinent case studies and applications. This book aims at researchers and graduate students in Computer Engineering, Artificial Intelligence and Machine Learning, Biomedical Engineering, Bioinformatics"--

Machine Learning and the Internet of Medical Things in Healthcare

Krishna Kant Singh,Mohamed Elhoseny,Akansha Singh,Ahmed A. Elngar
Machine Learning and the Internet of Medical Things in Healthcare Book PDF

Author : Krishna Kant Singh,Mohamed Elhoseny,Akansha Singh,Ahmed A. Elngar
Publisher : Academic Press
Page : 290 pages
File Size : 53,5 Mb
Release : 2021-04-14
Category : Science
ISBN : 9780128232170

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Machine Learning and the Internet of Medical Things in Healthcare by Krishna Kant Singh,Mohamed Elhoseny,Akansha Singh,Ahmed A. Elngar Pdf

Machine Learning and the Internet of Medical Things in Healthcare discusses the applications and challenges of machine learning for healthcare applications. The book provides a platform for presenting machine learning-enabled healthcare techniques and offers a mathematical and conceptual background of the latest technology. It describes machine learning techniques along with the emerging platform of the Internet of Medical Things used by practitioners and researchers worldwide. The book includes deep feed forward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology. It also presents the concepts of the Internet of Things, the set of technologies that develops traditional devices into smart devices. Finally, the book offers research perspectives, covering the convergence of machine learning and IoT. It also presents the application of these technologies in the development of healthcare frameworks. Provides an introduction to the Internet of Medical Things through the principles and applications of machine learning Explains the functions and applications of machine learning in various applications such as ultrasound imaging, biomedical signal processing, robotics, and biomechatronics Includes coverage of the evolution of healthcare applications with machine learning, including Clinical Decision Support Systems, artificial intelligence in biomedical engineering, and AI-enabled connected health informatics, supported by real-world case studies

Machine Learning for Critical Internet of Medical Things

Fadi Al-Turjman,Anand Nayyar
Machine Learning for Critical Internet of Medical Things Book PDF

Author : Fadi Al-Turjman,Anand Nayyar
Publisher : Springer Nature
Page : 267 pages
File Size : 55,9 Mb
Release : 2022-02-03
Category : Technology & Engineering
ISBN : 9783030809287

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Machine Learning for Critical Internet of Medical Things by Fadi Al-Turjman,Anand Nayyar Pdf

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 physician’s and doctor’s 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.

Evolving Role of AI and IoMT in the Healthcare Market

Fadi Al-Turjman,Manoj Kumar,Thompson Stephan,Akashdeep Bhardwaj
Evolving Role of AI and IoMT in the Healthcare Market Book PDF

Author : Fadi Al-Turjman,Manoj Kumar,Thompson Stephan,Akashdeep Bhardwaj
Publisher : Springer Nature
Page : 283 pages
File Size : 45,8 Mb
Release : 2022-01-06
Category : Technology & Engineering
ISBN : 9783030820794

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Evolving Role of AI and IoMT in the Healthcare Market by Fadi Al-Turjman,Manoj Kumar,Thompson Stephan,Akashdeep Bhardwaj Pdf

This book is a proficient guide to understanding artificial intelligence (IoT) and the Internet of Medical Things (IoMT) in healthcare. The book provides a comprehensive study on the applications of AI and IoT in various medical domains. The book shows how the implementation of innovative solutions in healthcare is beneficial, and IoT, together with AI, are strong drivers of the digital transformation regardless of what field the technologies are applied in. Therefore, this book provides a high level of understanding with the emerging technologies on the Internet of Things, wearable devices, and AI in IoMT, which offers the potential to acquire and process a tremendous amount of data from the physical world.

Artificial Intelligence for the Internet of Health Things

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

Author : K. Shankar,Eswaran Perumal,Deepak Gupta
Publisher : CRC Press
Page : 216 pages
File Size : 46,5 Mb
Release : 2021-05-10
Category : Computers
ISBN : 9781000374292

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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.

Data Modelling and Analytics for the Internet of Medical Things

Rajiv Pandey,Pratibha Maurya,Raymond Chiong
Data Modelling and Analytics for the Internet of Medical Things Book PDF

Author : Rajiv Pandey,Pratibha Maurya,Raymond Chiong
Publisher : CRC Press
Page : 358 pages
File Size : 46,5 Mb
Release : 2023-12-22
Category : Technology & Engineering
ISBN : 9781003825838

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Data Modelling and Analytics for the Internet of Medical Things by Rajiv Pandey,Pratibha Maurya,Raymond Chiong Pdf

The emergence of the Internet of Medical Things (IoMT) is transforming the management of diseases, improving diseases diagnosis and treatment methods, and reducing healthcare costs and errors. This book covers all the essential aspects of IoMT in one place, providing readers with a comprehensive grasp of IoMT and related technologies. Data Modelling and Analytics for the Internet of Medical Things integrates the architectural, conceptual, and technological aspects of IoMT, discussing in detail the IoMT, connected smart medical devices, and their applications to improve health outcomes. It explores various methodologies and solutions for medical data analytics in healthcare systems using machine learning and deep learning approaches, as well as exploring how technologies such as blockchain and cloud computing can further enhance data analytics in the e-health domain. Prevalent IoMT case studies and applications are also discussed. This book is suitable for scientists, design engineers, system integrators, and researchers in the field of IoMT. It will also be of interest to postgraduate students in computer science focusing on healthcare applications and a supplementary reading for IoMT courses.

Internet of Medical Things

D. Jude Hemanth,J. Anitha,George A. Tsihrintzis
Internet of Medical Things Book PDF

Author : D. Jude Hemanth,J. Anitha,George A. Tsihrintzis
Publisher : Springer Nature
Page : 265 pages
File Size : 40,6 Mb
Release : 2021-04-13
Category : Technology & Engineering
ISBN : 9783030639372

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Internet of Medical Things by D. Jude Hemanth,J. Anitha,George A. Tsihrintzis Pdf

This book looks at the growing segment of Internet of Things technology (IoT) known as Internet of Medical Things (IoMT), an automated system that aids in bridging the gap between isolated and rural communities and the critical healthcare services that are available in more populated and urban areas. Many technological aspects of IoMT are still being researched and developed, with the objective of minimizing the cost and improving the performance of the overall healthcare system. This book focuses on innovative IoMT methods and solutions being developed for use in the application of healthcare services, including post-surgery care, virtual home assistance, smart real-time patient monitoring, implantable sensors and cameras, and diagnosis and treatment planning. It also examines critical issues around the technology, such as security vulnerabilities, IoMT machine learning approaches, and medical data compression for lossless data transmission and archiving. Internet of Medical Things is a valuable reference for researchers, students, and postgraduates working in biomedical, electronics, and communications engineering, as well as practicing healthcare professionals.

Advanced AI and Internet of Health Things for Combating Pandemics

Mohamed Lahby,Virginia Pilloni,Jyoti Sekhar Banerjee,Mufti Mahmud
Advanced AI and Internet of Health Things for Combating Pandemics Book PDF

Author : Mohamed Lahby,Virginia Pilloni,Jyoti Sekhar Banerjee,Mufti Mahmud
Publisher : Springer Nature
Page : 397 pages
File Size : 44,5 Mb
Release : 2023-07-24
Category : Technology & Engineering
ISBN : 9783031286315

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Advanced AI and Internet of Health Things for Combating Pandemics by Mohamed Lahby,Virginia Pilloni,Jyoti Sekhar Banerjee,Mufti Mahmud Pdf

This book presents the latest research, theoretical methods, and novel applications in the field of Health 5.0. The authors focus on combating COVID-19 or other pandemics through facilitating various technological services. The authors discuss new models, practical solutions, and technological advances related to detecting and analyzing COVID-19 or other pandemic based on machine intelligence models and communication technologies. The aim of the coverage is to help decision-makers, managers, professionals, and researchers design new paradigms considering the unique opportunities associated with computational intelligence and Internet of Medical Things (IoMT). This book emphasizes the need to analyze all the information through studies and research carried out in the field of computational intelligence, communication networks, and presents the best solutions to combat COVID and other pandemics.

Artificial Intelligence and Internet of Things

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

Author : Lalit Mohan Goyal,Tanzila Saba,Amjad Rehman,Souad Larabi-Marie-Sainte
Publisher : CRC Press
Page : 406 pages
File Size : 49,5 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.

Handbook of Security and Privacy of AI-Enabled Healthcare Systems and Internet of Medical Things

Agbotiname Lucky Imoize,Valentina Emilia Balas,Vijender Kumar Solanki,Cheng-Chi Lee,Mohammad S. Obaidat
Handbook of Security and Privacy of AI Enabled Healthcare Systems and Internet of Medical Things Book PDF

Author : Agbotiname Lucky Imoize,Valentina Emilia Balas,Vijender Kumar Solanki,Cheng-Chi Lee,Mohammad S. Obaidat
Publisher : CRC Press
Page : 536 pages
File Size : 51,6 Mb
Release : 2023-10-25
Category : Technology & Engineering
ISBN : 9781000963267

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Handbook of Security and Privacy of AI-Enabled Healthcare Systems and Internet of Medical Things by Agbotiname Lucky Imoize,Valentina Emilia Balas,Vijender Kumar Solanki,Cheng-Chi Lee,Mohammad S. Obaidat Pdf

The fast-growing number of patients suffering from various ailments has overstretched the carrying capacity of traditional healthcare systems. This handbook addresses the increased need to tackle security issues and preserve patients’ privacy concerns in Artificial Intelligence of Medical Things (AIoMT) devices and systems. Handbook of Security and Privacy of AI-Enabled Healthcare Systems and the Internet of Medical Things provides new insights into the deployment, application, management, and benefits of AIoMT by examining real-world scenarios. The handbook takes a critical look at existing security designs and offers solutions to revamp traditional security architecture, including the new design of effi cient intrusion detection algorithms, attack prevention techniques, and both cryptographic and noncryptographic solutions. The handbook goes on to discuss the critical security and privacy issues that affect all parties in the healthcare ecosystem and provides practical AI-based solutions. This handbook offers new and valuable information that will be highly beneficial to educators, researchers, and others. .

Advances in Fuzzy-Based Internet of Medical Things (IoMT)

Satya Prakash Yadav,Sudesh Yadav,Pethuru Raj,Victor Hugo C. de Albuquerque
Advances in Fuzzy Based Internet of Medical Things IoMT Book PDF

Author : Satya Prakash Yadav,Sudesh Yadav,Pethuru Raj,Victor Hugo C. de Albuquerque
Publisher : John Wiley & Sons
Page : 253 pages
File Size : 43,8 Mb
Release : 2024-03-12
Category : Computers
ISBN : 9781394242238

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Advances in Fuzzy-Based Internet of Medical Things (IoMT) by Satya Prakash Yadav,Sudesh Yadav,Pethuru Raj,Victor Hugo C. de Albuquerque Pdf

ADVANCES IN FUZZY-BASED INTERNET OF MEDICAL THINGS (IOMT) This book explores the latest trends, transitions, and advancements of the Internet of Medical Things whose integration through cloud-hosted software applications adds required intelligence from tools such as medical instruments, scanners, and appliances, enabling fuzzy logic to help medical professionals establish linguistic concepts in deciding diagnosis and prognosis. The main goal of the book is to strengthen medical professionals and caregivers by providing methods for achieving fuzzy logic-based health diagnosis and medication. The health condition and various physical parameters of humans, such as heartbeat rate, sugar level, blood pressure, temperature, and oxygen quality, are captured through a host of multifaceted sensors. Additionally, remote health monitoring, medication, and management are being facilitated through a host of ingestible sensors, 5G communication, networked embedded systems, AI models running on cloud servers and edge devices, etc. Furthermore, chronic disease management is another vital domain getting increased attention. The distinct advancements in the fuzzy logic field are useful in various advanced medical care functionalities and facilities. The readers will discover: new and innovative features of health care by using fuzzy logic that raises economic efficiency at macro and micro levels; expounds on fuzzy logic techniques used in medical science; describes the evolution of the fuzzy logic paradigm and how it helps physicians decide on diagnosis and prognosis; uncovers how trust management is dealt with between patients and medical officials to help advance the fuzzy logic field; provides case studies, various technology advancements, and practical aspects on the impacts and challenges of fuzzy-based Internet of Medical Things. Audience The book will be read and used by researchers in artificial intelligence, fuzzy logic, medical professionals, caregivers, health administrators, and policymakers.

Artificial Intelligence for the Internet of Health Things

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

Author : K. Shankar,Eswaran Perumal,Deepak Gupta
Publisher : CRC Press
Page : 225 pages
File Size : 42,6 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.

Efficient Data Handling for Massive Internet of Medical Things

Chinmay Chakraborty,Uttam Ghosh,Vinayakumar Ravi,Yogesh Shelke
Efficient Data Handling for Massive Internet of Medical Things Book PDF

Author : Chinmay Chakraborty,Uttam Ghosh,Vinayakumar Ravi,Yogesh Shelke
Publisher : Springer Nature
Page : 398 pages
File Size : 40,6 Mb
Release : 2021-09-01
Category : Technology & Engineering
ISBN : 9783030666330

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Efficient Data Handling for Massive Internet of Medical Things by Chinmay Chakraborty,Uttam Ghosh,Vinayakumar Ravi,Yogesh Shelke Pdf

This book focuses on recent advances and different research areas in multi-modal data fusion under healthcare informatics and seeks out theoretical, methodological, well-established and validated empirical work dealing with these different topics. This book brings together the latest industrial and academic progress, research, and development efforts within the rapidly maturing health informatics ecosystem. Contributions highlight emerging data fusion topics that support prospective healthcare applications. The book also presents various technologies and concerns regarding energy aware and secure sensors and how they can reduce energy consumption in health care applications. It also discusses the life cycle of sensor devices and protocols with the help of energy-aware design, production, and utilization, as well as the Internet of Things technologies such as tags, sensors, sensing networks, and Internet technologies. In a nutshell, this book gives a comprehensive overview of the state-of-the-art theories and techniques for massive data handling and access in medical data and smart health in IoT, and provides useful guidelines for the design of massive Internet of Medical Things.

Cognitive Internet of Medical Things for Smart Healthcare

Aboul Ella Hassanien,Aditya Khamparia,Deepak Gupta,K. Shankar,Adam Slowik
Cognitive Internet of Medical Things for Smart Healthcare Book PDF

Author : Aboul Ella Hassanien,Aditya Khamparia,Deepak Gupta,K. Shankar,Adam Slowik
Publisher : Springer Nature
Page : 227 pages
File Size : 49,9 Mb
Release : 2020-10-19
Category : Technology & Engineering
ISBN : 9783030558338

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Cognitive Internet of Medical Things for Smart Healthcare by Aboul Ella Hassanien,Aditya Khamparia,Deepak Gupta,K. Shankar,Adam Slowik Pdf

This book aims to provide a detailed understanding of IoMT-supported applications while engaging premium smart computing methods and improved algorithms in the field of computer science. It contains thirteen chapters discussing various applications under the umbrella of the Internet of Medical Things. These applications geared towards IoMT cloud analysis, machine learning, computer vision and deep learning have enabled the evaluation of the proposed solutions.