Machine Learning and the Internet of Medical Things in Healthcare

Machine Learning and the Internet of Medical Things in Healthcare
Author: Krishna Kant Singh,Mohamed Elhoseny,Akansha Singh,Ahmed A. Elngar
Publsiher: Academic Press
Total Pages: 290
Release: 2021-04-26
ISBN: 012823217X
Category: Science
Language: EN, FR, DE, ES & NL

Machine Learning and the Internet of Medical Things in Healthcare Book Excerpt:

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

Cognitive Internet of Medical Things for Smart Healthcare

Cognitive Internet of Medical Things for Smart Healthcare
Author: Aboul Ella Hassanien,Aditya Khamparia,Deepak Gupta,K. Shankar,Adam Slowik
Publsiher: Springer Nature
Total Pages: 227
Release: 2020-10-19
ISBN: 3030558339
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Cognitive Internet of Medical Things for Smart Healthcare Book Excerpt:

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.

Machine Learning for Critical Internet of Medical Things

Machine Learning for Critical Internet of Medical Things
Author: Fadi Al-Turjman,Anand Nayyar
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
ISBN: 3030809285
Category: Artificial intelligence
Language: EN, FR, DE, ES & NL

Machine Learning for Critical Internet of Medical Things Book Excerpt:

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.

Internet of Medical Things

Internet of Medical Things
Author: D. Jude Hemanth,J. Anitha,George A. Tsihrintzis
Publsiher: Springer Nature
Total Pages: 265
Release: 2021-04-13
ISBN: 3030639371
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Internet of Medical Things Book Excerpt:

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.

The Internet of Medical Things IoMT

The Internet of Medical Things  IoMT
Author: R. J. Hemalatha,D. Akila,D. Balaganesh,Anand Paul
Publsiher: John Wiley & Sons
Total Pages: 336
Release: 2022-02-11
ISBN: 1119769183
Category: Computers
Language: EN, FR, DE, ES & NL

The Internet of Medical Things IoMT Book Excerpt:

INTERNET OF MEDICAL THINGS (IOMT) Providing an essential addition to the reference material available in the field of IoMT, this timely publication covers a range of applied research on healthcare, biomedical data mining, and the security and privacy of health records. With their ability to collect, analyze and transmit health data, IoMT tools are rapidly changing healthcare delivery. For patients and clinicians, these applications are playing a central part in tracking and preventing chronic illnesses — and they are poised to evolve the future of care. In this book, the authors explore the potential applications of a wave of sensor-based tools—including wearables and stand-alone devices for remote patient monitoring—and the marriage of internet-connected medical devices with patient information that ultimately sets the IoMT ecosystem apart. This book demonstrates the connectivity between medical devices and sensors is streamlining clinical workflow management and leading to an overall improvement in patient care, both inside care facilities and in remote locations.

Efficient Data Handling for Massive Internet of Medical Things

Efficient Data Handling for Massive Internet of Medical Things
Author: Chinmay Chakraborty,Uttam Ghosh,Vinayakumar Ravi,Yogesh Shelke
Publsiher: Springer Nature
Total Pages: 388
Release: 2021-09-01
ISBN: 3030666336
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Efficient Data Handling for Massive Internet of Medical Things Book Excerpt:

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.

Medical Big Data and Internet of Medical Things

Medical Big Data and Internet of Medical Things
Author: Aboul Ella Hassanien,Nilanjan Dey,Surekha Borra
Publsiher: CRC Press
Total Pages: 340
Release: 2018-10-25
ISBN: 135103037X
Category: Computers
Language: EN, FR, DE, ES & NL

Medical Big Data and Internet of Medical Things Book Excerpt:

Big data and the Internet of Things (IoT) play a vital role in prediction systems used in biological and medical applications, particularly for resolving issues related to disease biology at different scales. Modelling and integrating medical big data with the IoT helps in building effective prediction systems for automatic recommendations of diagnosis and treatment. The ability to mine, process, analyse, characterize, classify and cluster a variety and wide volume of medical data is a challenging task. There is a great demand for the design and development of methods dealing with capturing and automatically analysing medical data from imaging systems and IoT sensors. Addressing analytical and legal issues, and research on integration of big data analytics with respect to clinical practice and clinical utility, architectures and clustering techniques for IoT data processing, effective frameworks for removal of misclassified instances, practicality of big data analytics, methodological and technical issues, potential of Hadoop in managing healthcare data is the need of the hour. This book integrates different aspects used in the field of healthcare such as big data, IoT, soft computing, machine learning, augmented reality, organs on chip, personalized drugs, implantable electronics, integration of bio-interfaces, and wearable sensors, devices, practical body area network (BAN) and architectures of web systems. Key Features: Addresses various applications of Medical Big Data and Internet of Medical Things in real time environment Highlights recent innovations, designs, developments and topics of interest in machine learning techniques for classification of medical data Provides background and solutions to existing challenges in Medical Big Data and Internet of Medical Things Provides optimization techniques and programming models to parallelize the computationally intensive tasks in data mining of medical data Discusses interactions, advantages, limitations, challenges and future perspectives of IoT based remote healthcare monitoring systems. Includes data privacy and security analysis of cryptography methods for the Web of Medical Things (WoMT) Presents case studies on the next generation medical chair, electronic nose and pill cam are also presented.

Intelligent Internet of Things for Healthcare and Industry

Intelligent Internet of Things for Healthcare and Industry
Author: Uttam Ghosh,Chinmay Chakraborty,Lalit Garg,Gautam Srivastava
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
ISBN: 3030814734
Category: Artificial intelligence
Language: EN, FR, DE, ES & NL

Intelligent Internet of Things for Healthcare and Industry Book Excerpt:

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.

The Internet of Medical Things

The Internet of Medical Things
Author: Subhendu Kumar Pani,Priyadarsan Patra,Gianluigi Ferrari,Radoslava Kraleva,Xinheng Wang
Publsiher: IET
Total Pages: 382
Release: 2021-12-22
ISBN: 1839532734
Category: Computers
Language: EN, FR, DE, ES & NL

The Internet of Medical Things Book Excerpt:

Written by a range of researchers and practitioners in the field of IoT, data mining, and machine learning, this edited book provides a systemic review of trends, challenges and future directions of IoMT enabling technologies, such as machine learning, wireless communications, and network security.

Evolving Role of AI and IoMT in the Healthcare Market

Evolving Role of AI and IoMT in the Healthcare Market
Author: Fadi Al-Turjman,Manoj Kumar,Thompson Stephan,Akashdeep Bhardwaj
Publsiher: Springer Nature
Total Pages: 283
Release: 2021
ISBN: 3030820793
Category: Application software
Language: EN, FR, DE, ES & NL

Evolving Role of AI and IoMT in the Healthcare Market Book Excerpt:

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. Covers the applications of artificial intelligence (AI), and Internet of Medical Things (IoMT) in the Healthcare domain; Discusses how the usage of IoT and AI helps to analyze medical data in terms of diagnosis, disease prediction, and analysis of enormous health records; Covers a variety of Medical IoT based applications that are being used in different sectors and have succeeded in providing considerable benefits to the users in critical health application.

Internet of Medical Things for Smart Healthcare

Internet of Medical Things for Smart Healthcare
Author: Chinmay Chakraborty,Amit Banerjee,Lalit Garg,Joel J. P. C. Rodrigues
Publsiher: Springer Nature
Total Pages: 305
Release: 2020-12-11
ISBN: 9811580979
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Internet of Medical Things for Smart Healthcare Book Excerpt:

This book covers COVID-19 related research works and focuses on recent advances in the Internet of Things (IoT) in smart healthcare technologies. It includes reviews and original works on COVID-19 in terms of e-healthcare, medicine technology, life support systems, fast detection, diagnoses, developed technologies and innovative solutions, bioinformatics, datasets, apps for diagnosis, solutions for monitoring and control of the spread of COVID-19, among other topics. The book covers comprehensive studies from bioelectronics and biomedical engineering, artificial intelligence, and big data with a prime focus on COVID-19 pandemic.

Digital Health Transformation with Blockchain and Artificial Intelligence

Digital Health Transformation with Blockchain and Artificial Intelligence
Author: Chinmay Chakraborty
Publsiher: CRC Press
Total Pages: 368
Release: 2022-05-11
ISBN: 1000580946
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Digital Health Transformation with Blockchain and Artificial Intelligence Book Excerpt:

The book Digital Health Transformation with Blockchain and Artificial Intelligence covers the global digital revolution in the field of healthcare sector. The population has been overcoming the COVID-19 period; therefore, we need to establish intelligent digital healthcare systems using various emerging technologies like Blockchain and Artificial Intelligence. Internet of Medical Things is the technological revolution that has included the element of "smartness" in the healthcare industry and also identifying, monitoring, and informing service providers about the patient’s clinical information with faster delivery of care services. This book highlights the important issues i.e. (a) How Internet of things can be integrated with the healthcare ecosystem for better diagnostics, monitoring, and treatment of the patients, (b) Artificial Intelligence for predictive and preventive healthcare systems, (c) Blockchain for managing healthcare data to provide transparency, security, and distributed storage, and (d) Effective remote diagnostics and telemedicine approach for developing smart care. The book encompasses chapters belong to the blockchain, Artificial Intelligence, and Big health data technologies. Features: Blockchain and internet of things in healthcare systems Secure Digital Health Data Management in Internet of Things Public Perception towards AI-Driven Healthcare Security, privacy issues and challenges in adoption of smart digital healthcare Big data analytics and Internet of things in the pandemic era Clinical challenges for digital health revolution Artificial intelligence for advanced healthcare Future Trajectory of Healthcare with Artificial Intelligence 9 Parkinson disease pre-diagnosis using smart technologies Emerging technologies to combat the COVID-19 Machine Learning and Internet of Things in Digital Health Transformation Effective Remote Healthcare and Telemedicine Approaches Legal implication of blockchain technology in public health This Book on "Digital Health Transformation with Blockchain and Artificial Intelligence" aims at promoting and facilitating exchanges of research knowledge and findings across different disciplines on the design and investigation of secured healthcare data analytics. It can also be used as a textbook for a Masters course in security and biomedical engineering. This book will also present new methods for the medical data analytics, blockchain technology, and diagnosis of different diseases to improve the quality of life in general, and better integration into digital healthcare.

Machine Learning and Deep Learning in Efficacy Improvement of Healthcare Systems

Machine Learning and Deep Learning in Efficacy Improvement of Healthcare Systems
Author: Om Prakash Jena,Bharat Bhushan,Nitin Rakesh,Parma Nand Astya,Yousef Farhaoui
Publsiher: CRC Press
Total Pages: 395
Release: 2022-05-18
ISBN: 1000486826
Category: Computers
Language: EN, FR, DE, ES & NL

Machine Learning and Deep Learning in Efficacy Improvement of Healthcare Systems Book Excerpt:

The goal of medical informatics is to improve life expectancy, disease diagnosis and quality of life. Medical devices have revolutionized healthcare and have led to the modern age of machine learning, deep learning and Internet of Medical Things (IoMT) with their proliferation, mobility and agility. This book exposes different dimensions of applications for computational intelligence and explains its use in solving various biomedical and healthcare problems in the real world. This book describes the fundamental concepts of machine learning and deep learning techniques in a healthcare system. The aim of this book is to describe how deep learning methods are used to ensure high-quality data processing, medical image and signal analysis and improved healthcare applications. This book also explores different dimensions of computational intelligence applications and illustrates its use in the solution of assorted real-world biomedical and healthcare problems. Furthermore, it provides the healthcare sector with innovative advances in theory, analytical approaches, numerical simulation, statistical analysis, modelling, advanced deployment, case studies, analytical results, computational structuring and significant progress in the field of machine learning and deep learning in healthcare applications. FEATURES Explores different dimensions of computational intelligence applications and illustrates its use in the solution of assorted real-world biomedical and healthcare problems Provides guidance in developing intelligence-based diagnostic systems, efficient models and cost-effective machines Provides the latest research findings, solutions to the concerning issues and relevant theoretical frameworks in the area of machine learning and deep learning for healthcare systems Describes experiences and findings relating to protocol design, prototyping, experimental evaluation, real testbeds and empirical characterization of security and privacy interoperability issues in healthcare applications Explores and illustrates the current and future impacts of pandemics and mitigates risk in healthcare with advanced analytics This book is intended for students, researchers, professionals and policy makers working in the fields of public health and in the healthcare sector. Scientists and IT specialists will also find this book beneficial for research exposure and new ideas in the field of machine learning and deep learning.

Internet of Things for Healthcare Technologies

Internet of Things for Healthcare Technologies
Author: Chinmay Chakraborty,Amit Banerjee,Maheshkumar H. Kolekar,Lalit Garg,Basabi Chakraborty
Publsiher: Springer Nature
Total Pages: 324
Release: 2020-06-08
ISBN: 9811541124
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Internet of Things for Healthcare Technologies Book Excerpt:

This book focuses on recent advances in the Internet of Things (IoT) in biomedical and healthcare technologies, presenting theoretical, methodological, well-established, and validated empirical work in these fields. Artificial intelligence and IoT are set to revolutionize all industries, but perhaps none so much as health care. Both biomedicine and machine learning applications are capable of analyzing data stored in national health databases in order to identify potential health problems, complications and effective protocols, and a range of wearable devices for biomedical and healthcare applications far beyond tracking individuals’ steps each day has emerged. These prosthetic technologies have made significant strides in recent decades with the advances in materials and development. As a result, more flexible, more mobile chip-enabled prosthetics or other robotic devices are on the horizon. For example, IoT-enabled wireless ECG sensors that reduce healthcare cost, and lead to better quality of life for cardiac patients. This book focuses on three current trends that are likely to have a significant impact on future healthcare: Advanced Medical Imaging and Signal Processing; Biomedical Sensors; and Biotechnological and Healthcare Advances. It also presents new methods of evaluating medical data, and diagnosing diseases in order to improve general quality of life.

IoT and ICT for Healthcare Applications

IoT and ICT for Healthcare Applications
Author: Nishu Gupta,Sara Paiva
Publsiher: Springer Nature
Total Pages: 298
Release: 2020-08-12
ISBN: 3030429342
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

IoT and ICT for Healthcare Applications Book Excerpt:

This book provides an insight on the importance that Internet of Things (IoT) and Information and Communication Technology (ICT) solutions can have in taking care of people's health. Key features of this book present the recent and emerging developments in various specializations in curing health problems and finding their solutions by incorporating IoT and ICT. This book presents useful IoT and ICT applications and architectures that cater to their improved healthcare requirements. Topics include in-home healthcare services based on the Internet-of-Things; RFID technology for IoT based personal healthcare; Real-time reporting and monitoring; Interfacing devices to IoT; Smart medical services; Embedded gateway configuration (EGC); Health monitoring infrastructure; and more. Features a number of practical solutions and applications of IoT and ICT on healthcare; Includes application domains such as communication technology and electronic materials and devices; Applies to researchers, academics, students, and practitioners around the world.

Multidisciplinary Functions of Blockchain Technology in AI and IoT Applications

Multidisciplinary Functions of Blockchain Technology in AI and IoT Applications
Author: Chowdhury, Niaz,Chandra Deka, Ganesh
Publsiher: IGI Global
Total Pages: 255
Release: 2020-10-30
ISBN: 1799858774
Category: Computers
Language: EN, FR, DE, ES & NL

Multidisciplinary Functions of Blockchain Technology in AI and IoT Applications Book Excerpt:

Blockchain technology allows value exchange without the need for a central authority and ensures trust powered by its decentralized architecture. As such, the growing use of the internet of things (IoT) and the rise of artificial intelligence (AI) are to be benefited immensely by this technology that can offer devices and applications data security, decentralization, accountability, and reliable authentication. Bringing together blockchain technology, AI, and IoT can allow these tools to complement the strengths and weaknesses of the others and make systems more efficient. Multidisciplinary Functions of Blockchain Technology in AI and IoT Applications deliberates upon prospects of blockchain technology using AI and IoT devices in various application domains. This book contains a comprehensive collection of chapters on machine learning, IoT, and AI in areas that include security issues of IoT, farming, supply chain management, predictive analytics, and natural languages processing. While highlighting these areas, the book is ideally intended for IT industry professionals, students of computer science and software engineering, computer scientists, practitioners, stakeholders, researchers, and academicians interested in updated and advanced research surrounding the functions of blockchain technology in AI and IoT applications across diverse fields of research.

Internet of Healthcare Things

Internet of Healthcare Things
Author: Kavita Sharma,Yogita Gigras,Vishnu Sharma,D. Jude Hemanth,Ramesh Chandra Poonia
Publsiher: John Wiley & Sons
Total Pages: 304
Release: 2022-01-28
ISBN: 1119792444
Category: Science
Language: EN, FR, DE, ES & NL

Internet of Healthcare Things Book Excerpt:

INTERNET OF HEALTHCARE THINGS The book addresses privacy and security issues providing solutions through authentication and authorization mechanisms, blockchain, fog computing, machine learning algorithms, so that machine learning-enabled IoT devices can deliver information concealed in data for fast, computerized responses and enhanced decision-making. The main objective of this book is to motivate healthcare providers to use telemedicine facilities for monitoring patients in urban and rural areas and gather clinical data for further research. To this end, it provides an overview of the Internet of Healthcare Things (IoHT) and discusses one of the major threats posed by it, which is the data security and data privacy of health records. Another major threat is the combination of numerous devices and protocols, precision time, data overloading, etc. In the IoHT, multiple devices are connected and communicate through certain protocols. Therefore, the application of emerging technologies to mitigate these threats and provide secure data communication over the network is discussed. This book also discusses the integration of machine learning with the IoHT for analyzing huge amounts of data for predicting diseases more accurately. Case studies are also given to verify the concepts presented in the book. Audience Researchers and industry engineers in computer science, artificial intelligence, healthcare sector, IT professionals, network administrators, cybersecurity experts.

Artificial Intelligence and Internet of Things

Artificial Intelligence and Internet of Things
Author: Lalit Mohan Goyal,Tanzila Saba,Amjad Rehman,Souad Larabi-Marie-Sainte
Publsiher: CRC Press
Total Pages: 398
Release: 2021-08-25
ISBN: 1000386252
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Artificial Intelligence and Internet of Things Book Excerpt:

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.

Advances in Multidisciplinary Medical Technologies Engineering Modeling and Findings

Advances in Multidisciplinary Medical Technologies     Engineering  Modeling and Findings
Author: Abdeldjalil Khelassi,Vania Vieira Estrela
Publsiher: Springer Nature
Total Pages: 270
Release: 2020-11-07
ISBN: 3030575527
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Advances in Multidisciplinary Medical Technologies Engineering Modeling and Findings Book Excerpt:

This book collects the proceedings of the International Congress on Health Sciences and Medical Technologies (ICHSMT), held in Tlemcen, Algeria, from December 5 to 7, 2019. The proceedings present a forum for the latest projects and research in scientific and technological development with an emphasis on smart healthcare system design and future technologies. ICHSMT brings together researchers, students, and professionals from the healthcare, corporate, and academic sectors. It includes a far-reaching program supported by a variety of technical tracks that seek to promote medical technologies and innovation at a nationwide level.

Public Health and Informatics

Public Health and Informatics
Author: J. Mantas,L. Stoicu-Tivadar,C. Chronaki
Publsiher: IOS Press
Total Pages: 1182
Release: 2021-07
ISBN: 1643681850
Category: Medical
Language: EN, FR, DE, ES & NL

Public Health and Informatics Book Excerpt:

For several years now, both eHealth applications and digitalization have been seen as fundamental to the new era of health informatics and public health. The current pandemic situation has also highlighted the importance of medical informatics for the scientific process of evidence-based reasoning and decision making at all levels of healthcare. This book presents the accepted full papers, short papers, and poster papers delivered as part of the 31st Medical Informatics in Europe Conference (MIE 2021), held virtually from 29-31 May 2021. MIE 2021 was originally due to be held in Athens, Greece, but due to the continuing pandemic situation, the conference was held as a virtual event. The 261 papers included here are grouped into 7 chapters: biomedical data, tools and methods; supporting care delivery; health and prevention; precision medicine and public health; human factors and citizen centered digital health; ethics, legal and societal aspects; and posters. Providing a state-of-the-art overview of medical informatics from around the world, the book will be of interest to all those working with eHealth applications and digitalization to improve the delivery of healthcare today.