Software til industrien og teknologi

This book explores the latest advances in the field of building management. Several chapters use new technologies such as the BIM methodology for collecting life cycle information and managing the maintenance of existing buildings, sharing valid historical and architectural heritage data, energy analysis of building envelopes, and planning new buildings or sustainable building practices. In addition, other tools are presented that focus on improving access to BIM information, open-source governance, mobile applications to accelerate information transfer, the use of blockchain, lean design methods, and open-source software to solve critical path problems. Some contributions feature the assessment of occupational risks in construction, as it is necessary to plan preventive measures based on risk assessments integrated throughout the construction process, which is another important element for the management of this sector.

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.

This essential book reviews how digital health ventures can be integrated with more traditional techniques to revolutionize the healthcare system. Details of the current state of the digital marketplace, the available tools for early detection and diagnostics that presently employ digital technologies are provided. Relevant aspects of blockchain, artificial intelligence including data lake development and data analytics are described. The role of regulators and legislation including GDPR are also covered.Hybrid Healthcare provides a thorough overview of how digital health entrepreneurs will need to employ a hybrid approach to address many healthcare challenges of the 21st century. It is therefore an indispensable resource for all those seeking to develop their knowledge of this rapidly growing sector.

This book constitutes the refereed post-proceedings of the 15th International Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2022, held as a Virtual Event, during February 9¿11, 2022. The 21 full papers included in this book were carefully reviewed and selected from 262 submissions. The papers selected to be included in this book contribute to the understanding of relevant trends of current research on Biomedical Engineering Systems and Technologies, including: Pattern Recognition and Machine Learning, Application of Health Informatics in Clinical Cases, Evaluation and Use of Healthcare IT, Medical Signal Acquisition, Analysis and Processing, Data Mining and Data Analysis, Decision Support Systems, e-Health, e-Health Applications, Mobile Technologies for Healthcare Applications and Medical Devices design.

This book presents information about the use of technology to support the prevention and management of drug safety issues: pharmacovigilance (PV), medication errors, drug-related problems (DRPs), counterfeit medicines and other drug safety issues. Adapting new technologies/information technologies, mobile technologies and social media has contributed effectively to safety practices for medications, with this book providing comprehensive information as a guide to its challenges and potential. Technology for Drug Safety provides practicing and trainee pharmacists, pharmacy technicians, pharmacy educators, researchers, public health policy makers, healthcare professionals and medical educators with vital information about the impact of technology on drug safety-related issues. It describes the current status of the practice, the challenges in the field and recommendations for the effective use of technology in drug safety practice including clinical trials and drug development, PV, detection of adverse drug reactions, reporting and management, medication errors detection, reporting and management, DRPs, counterfeit and substandard medications, and other safety issues.

This book constitutes the refereed proceedings of the 8th International MICCAI Brainlesion Workshop, BrainLes 2022, as well as the Brain Tumor Segmentation (BraTS) Challenge, the Brain Tumor Sequence Registration (BraTS-Reg) Challenge, the Cross-Modality Domain Adaptation (CrossMoDA) Challenge, and the Federated Tumor Segmentation (FeTS) Challenge. These were held jointly at the Medical Image Computing for Computer Assisted Intervention Conference, MICCAI 2022, in September 2022. The 46 revised full papers presented in these volumes were selected form 65 submissions.The presented contributions describe the research of computational scientists and clinical researchers working on brain lesions - specifically glioma, multiple sclerosis, cerebral stroke, traumatic brain injuries, vestibular schwannoma, and white matter hyper-intensities of presumed vascular origin.

This book constitutes the refereed post-conference proceedings of the 7th and the 8th International Conference on Big Data Technologies and Applications, ICT4AWE 2021 and ICT4AWE 2022, held in April 24¿26, 2021 and April 23¿25, 2022. Due to COVID-19 pandemic both conferences were held virtually.The 21 full papers of ICT4AWE 2021 and ICT4AWE 2022 were selected from 80 submissions and present all big data technologies, such as Aging Well - Social and Human Sciences Perspective; Telemedicine and Independent Living; Digital Health and e-health.

This book discovers the latest research and insights in sports performance analysis and computer science in sports with the 13th World Congress of Performance Analysis of Sport and 13th International Symposium on Computer Science in Sport joint conference proceedings. This comprehensive book features over 40 peer-reviewed scientific works, showcasing the latest developments in these areas. The book covers a wide range of topics, including data analytics in sports, performance tracking and monitoring, artificial intelligence and machine learning in sports, virtual and augmented reality in sports, sensor technology, sports biomechanics, and motor control. By reading this book, you'll gain a deeper understanding of how applied and research-based problems can, together, transform the world of sports, and how you can stay ahead of the curve in this rapidly evolving field. This means that whether you're a researcher, coach, athlete, or sports enthusiast, there is something for everyone inthis book.

This book presents research on how interpretable cognitive IoT can work to help with the massive amount of data in the healthcare industry. The authors give importance to IoT systems with intense machine learning features; this ensures the scope corresponds to use of cognitive IoT for understanding, reasoning, and learning from medical data. The authors discuss the interpretability of an intelligent system and its trustworthiness as a smart tool in the context of massive healthcare applications. As a whole, book combines three important topics: massive data, cognitive IoT, and interpretability. Topics include health data analytics for cognitive IoT, usability evaluation of cognitive IoT for healthcare, interpretable cognitive IoT for health robotics, and wearables in the context of IoT for healthcare. The book acts as a useful reference work for a wide audience including academicians, scientists, students, and professionals.

Digital disruption in healthcare is generating new technologies, applications, and large data sets, and these are all precipitating significant changes in healthcare processes. Emerging applications due to digital disruption and their impact on healthcare delivery and quality are becoming some of the key focus areas of research. However, to date, systematic, generalizable, full-scale evaluation of these new technologies/applications is lacking. Little is known about the net short- or long-term health and wellness impacts of digital technologies. Similarly, the care-delivery and management process changes caused by digital disruption are forcing healthcare organizations to react rather than plan for them in advance. Given these gaps, this book addresses the technology, applications, data, and process aspects of digital disruption in healthcare.This volume is a collection of key areas in health and wellness impacted by digital disruption. It highlights the benefits, barriers, facilitators, and transformative forces that are shaping healthcare digital disruption. Topics explored in the chapters include:Towards Network Medicine: Implementation of Panomics and Artificial Intelligence for Precision MedicineTelehealth Implementation: A Synopsis of Patients' Experience of Clinical OutcomesRealising the Healthcare Value Proposition of Better Access, Quality and Value of Care by Incorporating the Social Determinants of Health with Digital HealthThe Internet Hospital in the Time of COVID-19: An Example from China Given the diverse interest in healthcare delivery solutions today, the need is broad across academia and the healthcare industry for a comprehensive resource for teaching, practice, and research. Digital Disruption in Healthcare is a point-of-entry resource for transferring theory into practice for heads of IT departments in hospitals, consultants, and academia, as well as scholars and researchers. Both graduate and undergraduate students as well as certificate-seeking health informatics and public health students would benefit from this book. Furthermore, it is useful for healthcare stakeholders including healthcare professionals, clinicians, medical administrators, managers, consultants, policy-makers, and IT practitioners within the healthcare space.

"Saubere Software Architektur" ist ein umfassendes und praxisorientiertes Buch, das Ihnen das fundierte Wissen und die praktischen Fähigkeiten vermittelt, um hochwertige und gut strukturierte Softwarearchitekturen zu entwerfen. In der heutigen digitalen Landschaft ist die Softwarearchitektur von entscheidender Bedeutung für den Erfolg von Projekten. Eine solide Architektur ermöglicht es, komplexe Anwendungen zu entwickeln, die flexibel, erweiterbar und einfach zu warten sind. Dieses Buch führt Sie durch alle Aspekte der Softwarearchitektur, von den grundlegenden Konzepten bis hin zu fortgeschrittenen Themen.Das Buch beginnt mit einer Einführung in die Grundlagen der Softwarearchitektur, in der Sie die wichtigsten Begriffe und Prinzipien kennenlernen. Sie erfahren, wie Sie die Anforderungen analysieren und eine geeignete Architekturstruktur entwerfen. Sie lernen verschiedene Architekturstile und -muster kennen, die Ihnen helfen, die Komplexität zu beherrschen und robuste Architekturen zu schaffen. Sie werden mit bewährten Designprinzipien vertraut gemacht, die Ihnen dabei helfen, die Wartbarkeit, Skalierbarkeit und Sicherheit Ihrer Anwendungen zu verbessern.Ein wichtiger Teil des Buches behandelt die Integration moderner Technologien und Trends wie das Internet der Dinge, Cloud Computing und mobile Anwendungen. Sie lernen, wie Sie diese Technologien in Ihre Architektur einbinden und die Herausforderungen der Skalierbarkeit, Verfügbarkeit und Sicherheit meistern.Darüber hinaus werden Ihnen bewährte Praktiken wie Testen, Continuous Integration und Deployment (CI/CD) sowie DevOps vorgestellt. Sie erfahren, wie Sie die Qualität Ihrer Software mit automatisierten Tests und effizienten Entwicklungsprozessen sicherstellen können.Das Buch legt besonderen Wert auf eine praxisnahe Herangehensweise. Neben theoretischen Konzepten finden Sie Best Practices und Tipps aus der realen Welt, um das Gelernte direkt umzusetzen. Außerdem werden Werkzeuge und Frameworks vorgestellt, die Ihnen bei der Umsetzung Ihrer Architektur unterstützen."Saubere Software Architektur" richtet sich sowohl an angehende Softwarearchitekten als auch an erfahrene Entwicklerinnen und Entwickler, die ihr Architekturwissen erweitern und ihre Fähigkeiten verbessern möchten. Es ist ein unverzichtbarer Leitfaden für alle, die hochwertige und nachhaltige Softwarelösungen entwickeln möchten.

Biomedical signals provide unprecedented insight into abnormal or anomalous neurological conditions. The computer-aided diagnosis (CAD) system plays a key role in detecting neurological abnormalities and improving diagnosis and treatment consistency in medicine. This book covers different aspects of biomedical signals-based systems used in the automatic detection/identification of neurological disorders. Several biomedical signals are introduced and analyzed, including electroencephalogram (EEG), electrocardiogram (ECG), heart rate (HR), magnetoencephalogram (MEG), and electromyogram (EMG). It explains the role of the CAD system in processing biomedical signals and the application to neurological disorder diagnosis. The book provides the basics of biomedical signal processing, optimization methods, and machine learning/deep learning techniques used in designing CAD systems for neurological disorders.

This book presents high-quality peer-reviewed papers from the International Conference on Electronics, Biomedical Engineering, and Health Informatics (ICEBEHI) 2021 held at Surabaya, Indonesia, virtually. The contents are broadly divided into three parts: (i) electronics, (ii) biomedical engineering, and (iii) health informatics. The major focus is on emerging technologies and their applications in the domain of biomedical engineering. It includes papers based on original theoretical, practical, and experimental simulations, development, applications, measurements, and testing. Featuring the latest advances in the field of biomedical engineering applications, this book serves as a definitive reference resource for researchers, professors, and practitioners interested in exploring advanced techniques in the field of electronics, biomedical engineering, and health informatics. The applications and solutions discussed here provide excellent reference material for future product development.

This reference book - not only for practitioners - deals with all facets and issues of the application of Building Information Modeling (BIM) in real estate operations and Facility Management (FM).Starting from the basics and advantages of BIM as well as its development, all areas in real estate operations are illuminated where BIM can be usefully applied. BIM and CAFM basics, modern digitization techniques, data standards and data exchange, as well as interoperability and aspects of the economic viability of BIM projects are explained in detail. The procedure for introducing BIM, application scenarios and concrete practical examples round off the work, as does a look at current research topics and future developments.

Sentiment analysis deals with extracting information about opinions, sentiments, and even emotions conveyed by writers towards topics of interest. Medical sentiment analysis refers to the identification and analysis of sentiments or emotions expressed in free-textual documents with a scope on healthcare and medicine. This fascinating problem offers numerous application areas in the domain of medicine, but also research challenges. The book provides a comprehensive introduction to the topic. The primary purpose is to provide the necessary background on medical sentiment analysis, ranging from a description of the notions of medical sentiment to use cases that have been considered already and application areas of relevance. Medical sentiment analysis uses natural language processing (NLP), text analysis and machine learning to realise the process of extracting and classifying statements regarding expressed opinion and sentiment. The book offers a comprehensive overview on existingmethods of sentiment analysis applied to healthcare resources or health-related documents. It concludes with open research avenues providing researchers indications which topics still have to be developed in more depth.

There are several popular books published in Healthcare Computational Informatics like Computational Bioengineering and Bioinformatics (2020), Springer; Health Informatics (2017), Springer; Health Informatics Vision: From Data via Information to Knowledge (2019), IOS Press; Data Analytics in Biomedical Engineering and Healthcare (2020), Elsevier. However, in all these mentioned books, the challenges in Biomedical Imaging are solved in one dimension by use of any specific technology like Image Processing, Machine Learning or Computer Aided Systems.  In this book, the book it has been attempted to bring all technologies related to computational analytics together and apply them on Biomedical Imaging.

This edited book provides information on emerging fields of next-generation healthcare informatics with a special emphasis on emerging developments and applications of artificial intelligence, deep learning techniques, computational intelligence methods, Internet of medical things (IoMT), optimization techniques, decision making, nanomedicine, and cloud computing. The book provides a conceptual framework and roadmap for decision-makers for this transformation. The chapters involved in this book cover challenges and opportunities for diabetic retinopathy detection based on deep learning applications, deep learning accelerators in IoT and IoMT, health data analysis, deep reinforcement-based conversational AI agent in healthcare systems, examination of health data performance, multisource data in intelligent medicine, application of genetic algorithms in health care, mental disorder, digital healthcare system with big data analytics, encryption methods in healthcare data security, computation and cognitive bias in healthcare intelligence and pharmacogenomics, guided imagery therapy, cancer detection and prediction techniques, medical image processing for coronavirus, and imbalance learning in health care.

For all of the tremendous advances in medicine and treatment the world has seen in the modern era, the human body's ability to heal itself remains a (literally) vital and often overlooked facet of healthcare.Through the use of emotional design, aimed at transforming healthcare environments, such as waiting rooms, in such a way as to boost the emotional wellbeing of patients, and thus their general attitudes, including in regard to their own healing processes, medical institutions can improve outcomes for the people they treat while simultaneously lowering overall costs.Design, as an inherently transdisciplinary, problem-solving activity, is well-suited to this task. And when combined with a field of study such as neuroscience, which can literally map out the perceptions that lead to the experience of particular emotions, healthcare environments can be transformed into spaces (through such innovations as Kansei engineering) that then subsequently transform the people who rely on them the most, leading to more efficiency and less red ink.

The book Intelligent Healthcare: Infrastructure, Algorithms, and Management(R) cover a wide range of research topics on innovative intelligent healthcare solutions and advancements with the latest research developments.  Data analytics are relevant for healthcare to meet many technical challenges and issues that need to be addressed to realize this potential. The advanced healthcare systems have to be upgraded with new capabilities such as data analytics, machine learning, intelligent decision making, and more professional services. The Internet of Things helps to design and develop intelligent healthcare solutions assisted by security, data analytics, and machine learning.This book will provide federated learning, Data-driven infrastructure design, analytical approaches, and technological solutions with case studies for smart healthcare. This book aims to attract works on multidisciplinary research spanning across computer science and engineering, environmental studies, services, urban planning and development, Healthcare, social sciences, and industrial engineering on technologies, case studies, novel approaches, and visionary ideas related to data-driven innovative learning and computing solutions and big medical data-powered applications to cope with the real-world challenges for building smart healthcare sectors.Main Features:o  Immersive technologies in healthcareo  Internet of medical thingso  Federated learning algorithmso  Explainable AI in Pervasive Healthcareo  New management principles using biomedical datao  Secured healthcare management systemsThis book aims to set up a better understanding of data scientists, researchers, and technologists under innovative digital health. The reader can find out existing research challenges, current market trends, and low-cost technologies to smoothly address the digital health issue.

With rise of smart medical sensors, cloud computing and the health care technologies, "e;connected health"e; is getting remarkable consideration everywhere. Recently, the Internet of Things (IoT) has brought the vision of a smarter world into reality. Cloud computing fits well in this scenario as it can provide high quality of clinical experience. Thus an IoT-cloud convergence can play a vital role in healthcare by offering better insight of heterogeneous healthcare content supporting quality care. It can also support powerful processing and storage facilities of huge data to provide automated decision making. This book aims to report quality research on recent advances towards IoT-Cloud convergence for smart healthcare, more specifically to the state-of-the-art approaches, design, development and innovative use of those convergence methods for providing insights into healthcare service demands. Students, researchers, and medical experts in the field of information technology, medicine, cloud computing, soft computing technologies, IoT and the related fields can benefit from this handbook in handling real-time challenges in healthcare. Current books are limited to focus either on soft computing algorithms or smart healthcare. Integration of smart and cloud computing models in healthcare resulting in connected health is explored in detail in this book.

Publishing Imprint: The Ultimate Guide on How to Publish Faster to Make More Profit, Learn Effective Strategies on How to Come up and Publish Content FasterOne of the most important components of any online marketing is content and so understandably, it takes the most amount of time. Time is money so if you are able to find a way to come up and publish content in a faster way, the better chances you have of generating more profit for your business. If you save time on this task, you can use the saved time in more productive ways that could potentially earn you extra income.This book will teach you useful tips and tactics that can help you create and publish content in a faster way without sacrificing the quality of the content. You will discover more efficient methods of the whole content process - from brainstorming to publishing your content. This book will teach you about the following topics:Time Saving Tips, Ideas, and Tactics to Brainstorm Your ContentHow to Write Quickly - Get Your Thoughts and Ideas onto the Page and Published in Less Time6 Tips to Make Research Faster and PainlessOrganization Matters - How to Organize Your Content for Productivity and EfficiencyPublishing Your Content - The Last StepBonus: Digital Publishing TipsPublishing content for your business should not feel like a chore that would take too much time. There are ways you can improve the speed to which you come up with content for your business.If you want to learn more on how you can make writing and publishing your content faster, scroll up and click "add to cart" now.

This book shows how PROMs and PREMs can help improve patient experience and outcomes. Part 1 covers the core principles of PROMs and PREMs, including their strengths and weaknesses, reporting and analysis, data sharing and valuation. Part 2 covers measures of patient experience, health status, wellbeing, self-efficacy, individualized measures, social determinants of health and impact evaluation. It concludes with a discussion of staff-reported measures, proxies and caregivers. Patient-Reported Outcomes and Experience: Measuring What We Want with PROMs and PREMs concisely covers how to use these measures successfully to improve patient experience of healthcare services and associated outcomes. It is a critical resource for trainee and practicing clinicians, managers, analysts and policymakers seeking an up-to-date reference on the latest developments in this rapidly expanding field. 

 This set of teaching notes provides extensive guidance for educators related to its sister title and contains numerous tools and questions to help educators provide didactics and evaluation of students in this essential area of biomedical informatics.  This is needed to understand the central topics of ontology, terminology and terminological systems in healthcare. Twenty-five years ago the notion that ontology would be essential to knowledge representation in healthcare was all but unknown. Almost all important terminologies and many ontologies are now in wide use and are growing in importance. With no general model of what a ontology and terminology should be, there are an increasing number of tools to support ontology / terminology development, implementation and maintenance. Steady progress since then has improved both ontology / terminology content and the technology and processes used to sustain that content. Terminology, Ontology and their Implementations: Teaching Guide and Notes provides extensive teaching materials to accompany Terminology, Ontology and their Implementations . It provides further definition of the topic and explains the use of reference terminologies needed to use them safely. It contains questions and explanations from each section of the textbook, making it easier to use the text in teaching Health Informatics students. The authors also provide supplementary information about the questions, their relevance and their relation to other concepts. This book augments Terminology, Ontology and their Implementations by assisting the understanding of terminology services and the architecture for terminological servers, and consequently serves as an essential tool for educators in their efforts to teach students in their study of health informatics.

This book highlights the different aspects of the research project ¿E4C Horizon 2020 European Project¿ aimed at fighting the coronavirus by combining the best supercomputing resources and artificial intelligence with state-of-the-art experimental facilities up through clinical validation.Coronavirus disease has become an important public issue across the globe since December 2019. There is an urgent need to develop potent anti-COVID-19 agents for the prevention of the outbreak and stop viral infections.To this aim, a public¿private consortium composed by European and national infrastructures, center of excellence, universities, and a pharmaceutical company started the E4C Horizon 2020 EuropeanProject: Its core idea was to use the EXaSCale smArt pLatform Against paThogEns (EXSCALATE) supercomputing platform for a process known as ¿drug repurposing¿, namely to identify the most promising safe in man drugs for immediate treatment of the already infected population and then novel pan-coronavirus inhibitors to address future emergencies.This ambitious goal exploited a ¿chemical library¿ of 500 billion molecules, thanks to a processing capacity of more than 3 million molecules per second, made available by the computing power of the EXSCALATE platform.