Bøger udgivet af IOS Press

To view contents and gain full-text access, go to the IOS Press Booksonline Platform In Medical Informatics three types of processes play a central role: organizational, patient-related and decision making-related processes. The first type deals with settings, such as a hospital care setting or a primary care setting; the second is related to health and disease (i.e. to patients); the third type of process aims at assisting in decision making and therapy and evolves in the brains of healthcare professionals. Hence, in all domains data, information and knowledge play a key role. As these three processes evolve, dealing with individuals - patients, doctors and nurses - because of that human factor there are obviously limitations imposed by formalization and standardization. In the past, there have been some unrealistic expectations regarding the possible contributions of medical informatics to healthcare. However, such contributions appeared to be very modest, to say the least. The same applies to the overly optimistic expectations regarding the introduction of electronic health records. Although the technology is widely available, all these developments appear to be far more complex than expected. The need for an improved understanding of the nature of medical knowledge to better serve health remains to be emphasized.

The latest advances in Artificial Intelligence and (deep) Machine Learning in particular revealed a major drawback of modern intelligent systems, namely the inability to explain their decisions in a way that humans can easily understand. While eXplainable AI rapidly became an active area of research in response to this need for improved understandability and trustworthiness, the field of Knowledge Representation and Reasoning (KRR) has on the other hand a long-standing tradition in managing information in a symbolic, human-understandable form.This book provides the first comprehensive collection of research contributions on the role of knowledge graphs for eXplainable AI (KG4XAI), and the papers included here present academic and industrial research focused on the theory, methods and implementations of AI systems that use structured knowledge to generate reliable explanations. Introductory material on knowledge graphs is included for those readers with only a minimal background in the field, as well as specific chapters devoted to advanced methods, applications and case-studies that use knowledge graphs as a part of knowledge-based, explainable systems (KBX-systems). The final chapters explore current challenges and future research directions in the area of knowledge graphs for eXplainable AI.The book not only provides a scholarly, state-of-the-art overview of research in this subject area, but also fosters the hybrid combination of symbolic and subsymbolic AI methods, and will be of interest to all those working in the field.

Biomedical Engineering is defined as the science that integrates medical and engineering sciences to improve diagnosis and treatment of patients. Only by this integration progress can be achieved. Both medical and engineering sciences comprise a huge diversity in topics, so it is imaginable that Biomedical Engineering, combining these two science areas, is even more huge. Thanks to this megadisciplinary approach many breakthroughs can be achieved. More and more research groups realize this and start new research projects, which results in a rapid increase in knowledge in Biomedical Engineering. This will only benefit the main goal of Biomedical Engineering; improving diagnosis and treatment of patients when it is spread and applied. The 2nd Regensburg Applied Biomechanics conference is special in that it realized both the distribution of new knowledge and the essential integration of medical and engineering specialists. The conference dealt with the latest results in applied biomechanics, ranging from fundamental bone strength properties via bone remodeling phenomena to new implants that replace lost human functions. Also new research areas like robot surgery and tissue engineering were discussed.

This book addresses the problem of benchmarking Semantic Web technologies; first, from a methodological point of view, proposing a general methodology to follow in benchmarking activities over Semantic Web technologies and, second, from a practical point of view, presenting two international benchmarking activities that involved benchmarking the interoperability of Semantic Web technologies using RDF(S) as the interchange language in one activity and OWL in the other.The book presents in detail how the different resources needed for these interoperability benchmarking activities were defined: the experiments, the benchmark suites, and the software that support the process. Furthermore, the book invites practitioners to reach a continuous improvement of semantic technologies by means of their continuous evaluation and presents future lines of research.

The field of health informatics (or medical informatics as it is sometimes called) is still a relatively young one compared to other areas of biomedicine and the health sciences. Nevertheless, its impact on the quality and efficiency of healthcare is crucial. This second, extensively revised and updated edition of Health Informatics: An Overview includes new topics which address contemporary issues and challenges and shift the focus on the health problem space towards a computer perspective. An overview is provided of the health informatics discipline and the book is suitable for use as a basic text in both undergraduate and postgraduate curricula. Preparing students for practice as health professionals in any discipline, it deliberately avoids focusing on any one speciality. The publication is divided into six sections: an overview, basic concepts, applications supporting clinical practice, service delivery, management and clinical research and education. With contributions from many distinguished authors, this book is a valuable resource for healthcare professionals and students of health informatics alike.

Electronic publishing is continuously changing; new technologies open new ways for individuals, scholars, communities and networks to establish contacts, exchange data, produce information and share knowledge on a variety of devices, from personal computers to mobile media. There is an urgent need to rethink electronic publishing in order to develop and use new communication paradigms and technologies, and to devise a truly digital format for the future. This book presents the conference proceedings of the ELPUB 2013 conference, held in Karlskrona, Sweden, in June 2013. The main theme of the conference is extracting and processing data from the vast wealth of digital publishing, and the ways to use and reuse this information in innovative social contexts in a sustainable way. The conference brings together researchers and practitioners to discuss data mining, digital publishing and social networks, along with their implications for scholarly communication, information services, e-learning, e-businesses, the cultural heritage sector and other areas where electronic publishing is imperative.The book is divided into three sections: full research articles, full professional articles and extended abstracts. Each section is further subdivided into Data Mining and Intelligent Computing, Publishing and Access and Social Computing and Practices.Focusing on key issues surrounding the development of methods for gathering and processing information, and on the means for making these data useful and accessible, this book will be of interest to the whole digital community.

The application of Data Mining (DM) technologies has shown an explosive growth in an increasing number of different areas of business, government and science. Two of the most important business areas are finance, in particular in banks and insurance companies, and e-business, such as web portals, e-commerce and ad management services. In spite of the close relationship between research and practice in Data Mining, it is not easy to find information on some of the most important issues involved in real world application of DM technology, from business and data understanding to evaluation and deployment. Papers often describe research that was developed without taking into account constraints imposed by the motivating application. When these issues are taken into account, they are frequently not discussed in detail because the paper must focus on the method. Therefore knowledge that could be useful for those who would like to apply the same approach on a related problem is not shared. The papers in this book address some of these issues.This book is of interest not only to Data Mining researchers and practitioners, but also to students who wish to have an idea of the practical issues involved in Data Mining.

During his 31-year tenure as director of the U.S. National Library of Medicine (NLM), Donald A.B. Lindberg M.D. dramatically increased access to knowledge about health issues, medicine, medical care, the health professions, and health literacy. As an enthusiastic visionary with a plan, his aim was to bring about a more efficient transfer and use of information and data. Dr. Lindberg and the NLM helped transform and reshape medicine and the health system in the 20th and 21st centuries. Dr. Lindberg envisioned, encouraged, and supported the development of electronic health records and telemedicine. Coupled with the evolution of the Internet, these technologies made health systems more efficient for research, the delivery of clinical services, the education of health professionals, bioethics, improving the public's health literacy, and disease prevention strategies. Dr. Lindberg also was committed to enhancing the capacity of underserved and minority populations to make use of NLM's health information resources.Transforming Biomedical Informatics and Health Information Access is a tribute to Don Lindberg and the NLM. The book is divided into four sections. The first documents the advances in biomedical informatics during Dr. Lindberg's career, emphasizing the contributions made by teams of talented individuals at the NLM. The second section describes how the NLM's creation of new methods of access to diverse biomedical databases improved information access for healthcare professionals, biomedical researchers, and the public. The third section explains how NLM's outreach programs improved access to health information among underrepresented audiences and communities. The more informal fourth section provides brief memoirs about Dr. Lindberg's life, character, and humanism.

Proceedings of the Twelfth International Conference FOIS 2021.

The 11th International Conference on Electronics Communications and Networks CECNet November 1821 2.

Proceedings of the 2021 EFMI Special Topic Conference.