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M-Health : Emerging Mobile Health Systems
M-health: Emerging Mobile Health Systems presents recent advances in this area and explores future trends in the applications of current and emerging wireless communication and network technologies for healthcare delivery and new wireless telemedical services. This work also evaluates the impact of the synergies between the 2.5G and 3G systems and beyond for healthcare applications and explores the augmentation of these technologies for the next generation of m-health services. M-health is commonly defined as the ‘emerging mobile communications and network technologies for healthcare systems’.
IoT-enabled Smart Healthcare Systems, Services and Applications
In IoT-Enabled Smart Healthcare Systems, Services and Applications, an accomplished team of researchers delivers an insightful and comprehensive exploration of the roles played by cutting-edge technologies in modern healthcare delivery. The distinguished editors have included resources from a diverse array of learned experts in the field that combine to create a broad examination of a rapidly developing field.
Informatics for the Clinical Laboratory : A Practical Guide
This series is directed to healthcare professionals who are leading the tra- formation of health care by using information and knowledge. Launched in 1988 as Computers in Health Care, the series offers a broad range of titles: some addressed to specific professions such as nursing, medicine, and health administration; others to special areas of practice such as trauma and radi- ogy. Still other books in the series focus on interdisciplinary issues, such as the computer-based patient record, electronic health records, and networked healthcare systems. Renamed Health Informatics in 1998 to reflect the rapid evolution in the discipline now known as health informatics, the series will continue to add titles that contribute to the evolution of the field. In the series, eminent - perts, serving as editors or authors, offer their accounts of innovations in health informatics. Increasingly, these accounts go beyond hardware and so- ware to address the role of information in influencing the transformation of healthcare delivery systems around the world. The series also increasingly focuses on “peopleware” and the organizational, behavioral, and societal changes that accompany the diffusion of information technology in health services environments.
Improving Health Care in Low- and Middle-Income Countries : A Case Book
This book is a collection of 12 case studies capturing decades of experience improving health care and outcomes in low- and middle-income countries. Each case study is written by healthcare managers and providers who have implemented health improvement projects using quality improvement methodology, with analysis from global health experts on the practical application of improvement methods.
Handbook of research on nano-drug delivery and tissue engineering : Guide to strengthening healthcare systems
Provides an important and valuable collection of research accomplishments in nanomedicine, drug delivery, tissue engineering, processing, formulations, and their applications. Addresses topical issues in nano-drug delivery and nanotechnological approaches to tissue engineering. The first section offers research on a variety of diverse nano-based drug delivery systems, along with discussions of their efficacy, safety, toxicology, and applications for different purposes. Focusing on nanotechnology approaches to tissue engineering, part two of the volume considers the use of hydrogel systems, nanoceria and micro- and nano-structured biomaterials for bone tissue engineering, mesenchymal stem cells, and more. This volume is a systematic scientific reference of the novel research developments specifically in this area. The editors give special emphasis on the new trends and developments in the field of nanomedicine that will be very helpful for pharmaceutical and medical researchers, scientists, faculty, and students.
Future data and security engineering : Big data, security and privacy, smart city and industry 4.0 applications ; 7th International Conference, FDSE 2020, Quy Nhon, Vietnam, November 25–27, 2020, Proceedings
This book constitutes the proceedings of the 7th International Conference on Future Data and Security Engineering, FDSE 2020, held in Quy Nhon, Vietnam, in November 2020.* The 29 full papers and 8 short were carefully reviewed and selected from 161 submissions. The selected papers are organized into the following topical headings: big data analytics and distributed systems; security and privacy engineering; industry 4.0 and smart city: data analytics and security; data analytics and healthcare systems; machine learning-based big data processing; emerging data management systems and applications; and short papers: security and data engineering.
Deep Learning, Machine Learning and IoT in Biomedical and Health Informatics : Techniques and Applications
Examines and demonstrates state-of-the-art approaches for IoT and Machine Learning based biomedical and health related applications. This book aims to provide computational methods for accumulating, updating and changing knowledge in intelligent systems and particularly learning mechanisms that help us to induce knowledge from the data. It is helpful in cases where direct algorithmic solutions are unavailable, there is lack of formal models, or the knowledge about the application domain is inadequately defined. In the future IoT has the impending capability to change the way we work and live. These computing methods also play a significant role in design and optimization in diverse engineering disciplines. With the influence and the development of the IoT concept, the need for AI (artificial intelligence) techniques has become more significant than ever.
Cyber Security : Critical Infrastructure Protection
Focus on critical infrastructure protection. The chapters present detailed analysis of the issues and challenges in cyberspace and provide novel solutions in various aspects. The first part of the book focus on digital society, addressing critical infrastructure and different forms of the digitalization, strategic focus on cyber security, legal aspects on cyber security, citizen in digital society, and cyber security training. The second part focus on the critical infrastructure protection in different areas of the critical infrastructure. The chapters cover the cybersecurity situation awareness, aviation and air traffic control, cyber security in smart societies and cities, cyber security in smart buildings, maritime cyber security, cyber security in energy systems, and cyber security in healthcare. The third part presents the impact of new technologies upon cyber capability building as well as new challenges brought about by new technologies. These new technologies are among others are quantum technology, firmware and wireless technologies, malware analysis, virtualization.
Machine learning in healthcare : Fundamentals and recent applications
Discusses how to build various ML algorithms and how they can be applied to improve healthcare systems. Healthcare applications of AI are innumerable: medical data analysis, early detection and diagnosis of disease, providing objective-based evidence to reduce human errors, curtailing inter- and intra-observer errors, risk identification and interventions for healthcare management, real-time health monitoring, assisting clinicians and patients for selecting appropriate medications, and evaluating drug responses. Extensive demonstrations and discussion on the various principles of machine learning and its application in healthcare is provided, along with solved examples and exercises.
Knowledge Management for Health Care Procedures ; From Knowledge to Global Care, AIME 2007 Workshop K4CARE 2007, Amsterdam, The Netherlands, July 7, 2007, Revised Selected Papers
The incursion of information and communication technologies (ICT) in health care entails evident bene?ts at the levels of security and efciency that improve not only the quality of life of the patients, but also the quality of the work of the health care professionals and the costs of national health care systems. Leaving research approaches aside, the analysis of ICT in health care shows an evo- tion from the initial interest in representing and storing health care data (i. e. , electronic health care records) to the current interest of having remote access to electronic health care systems, as for example HL7 initiatives or telemedicine. This sometimes imperceptible evolution can be interpreted as a new step of the progress path of health care informatics.
Brilliantguard : AI-powered healthcare prototype for mobile & automotive integration
Brilliantguard is an AI-powered healthcare and safety prototype designed to support individuals with special needs, the elderly users, and patients with chronic conditions such as alzheimer’s disease. The system integrates augmented reality (AR), an AI based chatbot, and bitcoin-based payments into a unified platform combining mobile apps, smartwatches, and automotive sensors. It enables real-time health monitoring, predictive alerts with preliminary health suggestions, medication reminders, initial fault detection, and geofencing-based tracking for alzheimer’s patients. Emergency alerts are automatically triggered in response to abnormal health readings or car crashes.
Advanced computational intelligence paradigms in healthcare 2
Computational intelligence paradigms offer many advantages in maintaining and enhancing the field of healthcare. This volume presents seven chapters selected from the rapidly growing application areas of computational intelligence to healthcare systems, including intelligent synthetic characters, man-machine interface, menu generators, analysis of user acceptance, pictures archiving and communication systems.This book will serve as a useful resource for the health professionals, professors, students, and the computer scientists, who are working on or interested in learning healthcare systems, to overview the current stat-of-the-art of diverse applications of computational intelligence to healthcare practice.
