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Intelligent Data Analysis for COVID-19 Pandemic (Algorithms for Intelligent Systems)
by Neeraj Kumar Siddhartha Bhattacharyya M. NiranjanamurthyThis book presents intelligent data analysis as a tool to fight against COVID-19 pandemic. The intelligent data analysis includes machine learning, natural language processing, and computer vision applications to teach computers to use big data-based models for pattern recognition, explanation, and prediction. These functions are discussed in detail in the book to recognize (diagnose), predict, and explain (treat) COVID-19 infections, and help manage socio-economic impacts. It also discusses primary warnings and alerts; tracking and prediction; data dashboards; diagnosis and prognosis; treatments and cures; and social control by the use of intelligent data analysis. It provides analysis reports, solutions using real-time data, and solution through web applications details.
Intelligent Data Analytics for Bioinformatics and Biomedical Systems (Sustainable Computing and Optimization)
by Neha Sharma Korhan Cengiz Prasenjit ChatterjeeThe book analyzes the combination of intelligent data analytics with the intricacies of biological data that has become a crucial factor for innovation and growth in the fast-changing field of bioinformatics and biomedical systems. Intelligent Data Analytics for Bioinformatics and Biomedical Systems delves into the transformative nature of data analytics for bioinformatics and biomedical research. It offers a thorough examination of advanced techniques, methodologies, and applications that utilize intelligence to improve results in the healthcare sector. With the exponential growth of data in these domains, the book explores how computational intelligence and advanced analytic techniques can be harnessed to extract insights, drive informed decisions, and unlock hidden patterns from vast datasets. From genomic analysis to disease diagnostics and personalized medicine, the book aims to showcase intelligent approaches that enable researchers, clinicians, and data scientists to unravel complex biological processes and make significant strides in understanding human health and diseases. This book is divided into three sections, each focusing on computational intelligence and data sets in biomedical systems. The first section discusses the fundamental concepts of computational intelligence and big data in the context of bioinformatics. This section emphasizes data mining, pattern recognition, and knowledge discovery for bioinformatics applications. The second part talks about computational intelligence and big data in biomedical systems. Based on how these advanced techniques are utilized in the system, this section discusses how personalized medicine and precision healthcare enable treatment based on individual data and genetic profiles. The last section investigates the challenges and future directions of computational intelligence and big data in bioinformatics and biomedical systems. This section concludes with discussions on the potential impact of computational intelligence on addressing global healthcare challenges. Audience Intelligent Data Analytics for Bioinformatics and Biomedical Systems is primarily targeted to professionals and researchers in bioinformatics, genetics, molecular biology, biomedical engineering, and healthcare. The book will also suit academicians, students, and professionals working in pharmaceuticals and interpreting biomedical data.
Intelligent Decision Support Systems—A Journey to Smarter Healthcare (Intelligent Systems Reference Library #157)
by Smaranda Belciug Florin GorunescuThe goal of this book is to provide, in a friendly and refreshing manner, both theoretical concepts and practical techniques for the important and exciting field of Artificial Intelligence that can be directly applied to real-world healthcare problems. Healthcare – the final frontier. Lately, it seems like Pandora opened the box and evil was released into the world. Fortunately, there was one thing left in the box: hope. In recent decades, hope has been increasingly represented by Intelligent Decision Support Systems. Their continuing mission: to explore strange new diseases, to seek out new treatments and drugs, and to intelligently manage healthcare resources and patients. Hence, this book is designed for all those who wish to learn how to explore, analyze and find new solutions for the most challenging domain of all time: healthcare.
Intelligent Drug Prescribing in Psychiatry: Supporting the Patient-Prescriber Partnership
by Peter TyrerThis new book, drawing on the author’s distinguished career in front-line psychiatric practice, describes how to bring patient and prescriber together in an active partnership whereby there is better understanding of the positive and negative elements of drug prescription. At present there is a gap between expectations, with doctors not always able to admit their ignorance of some aspects of drug action, and patients kept unaware of these uncertainties. Balanced decision-making with joint involvement is needed to separate those drugs that are needed regularly to maintain health, those that are only needed when required and those that are mere fashion accessories. Greater care is needed over the explanation of the first prescription, the expected duration of treatment and the plans for eventual withdrawal. The consequence of a better partnership will be less over-prescribing, a reduction of polypharmacy and a lessened need for deprescribing, the planned systematic reduction of drug treatment that has got completely out of control.Concentrating on routine prescribing for psychiatric and mental health disorders rather than unusual conditions and illustrated with real-life anecdotes and case histories, this is essential reading for trainee and practising psychiatrics, general practitioners and pharmacists.
Intelligent Feature Selection for Machine Learning Using the Dynamic Wavelet Fingerprint
by Mark K. HindersThis book discusses various applications of machine learning using a new approach, the dynamic wavelet fingerprint technique, to identify features for machine learning and pattern classification in time-domain signals. Whether for medical imaging or structural health monitoring, it develops analysis techniques and measurement technologies for the quantitative characterization of materials, tissues and structures by non-invasive means. Intelligent Feature Selection for Machine Learning using the Dynamic Wavelet Fingerprint begins by providing background information on machine learning and the wavelet fingerprint technique. It then progresses through six technical chapters, applying the methods discussed to particular real-world problems. Theses chapters are presented in such a way that they can be read on their own, depending on the reader’s area of interest, or read together to provide a comprehensive overview of the topic. Given its scope, the book will be of interest to practitioners, engineers and researchers seeking to leverage the latest advances in machine learning in order to develop solutions to practical problems in structural health monitoring, medical imaging, autonomous vehicles, wireless technology, and historical conservation.
Intelligent Healthcare Systems
by Vania V. EstrelaThe book sheds light on medical cyber-physical systems while addressing image processing, microscopy, security, biomedical imaging, automation, robotics, network layers’ issues, software design, and biometrics, among other areas. Hence, solving the dimensionality conundrum caused by the necessity to balance data acquisition, image modalities, different resolutions, dissimilar picture representations, subspace decompositions, compressed sensing, and communications constraints. Lighter computational implementations can circumvent the heavy computational burden of healthcare processing applications. Soft computing, metaheuristic, and deep learning ascend as potential solutions to efficient super-resolution deployment. The amount of multi-resolution and multi-modal images has been augmenting the need for more efficient and intelligent analyses, e.g., computer-aided diagnosis via computational intelligence techniques. This book consolidates the work on artificial intelligence methods and clever design paradigms for healthcare to foster research and implementations in many domains. It will serve researchers, technology professionals, academia, and students working in the area of the latest advances and upcoming technologies employing smart systems’ design practices and computational intelligence tactics for medical usage. The book explores deep learning practices within particularly difficult computational types of health problems. It aspires to provide an assortment of novel research works that focuses on the broad challenges of designing better healthcare services.
Intelligent Healthcare: Applications of AI in eHealth (EAI/Springer Innovations in Communication and Computing)
by Abhishek Kumar Ashutosh Kumar Dubey Surbhi Bhatia Poonam Chaudhary Rita ChhikaraThis book fosters a scientific debate for sophisticated approaches and cognitive technologies (such as deep learning, machine learning and advanced analytics) for enhanced healthcare services in light of the tremendous scope in the future of intelligent systems for healthcare. The authors discuss the proliferation of huge data sources (e.g. genomes, electronic health records (EHRs), mobile diagnostics, and wearable devices) and breakthroughs in artificial intelligence applications, which have unlocked the doors for diagnosing and treating multitudes of rare diseases. The contributors show how the widespread adoption of intelligent health based systems could help overcome challenges, such as shortages of staff and supplies, accessibility barriers, lack of awareness on certain health issues, identification of patient needs, and early detection and diagnosis of illnesses. This book is a small yet significant step towards exploring recent advances, disseminating state-of-the-art techniques and deploying novel technologies in intelligent healthcare services and applications.Describes the advances of computing methodologies for life and medical science data;Presents applications of artificial intelligence in healthcare along with case studies and datasets;Provides an ideal reference for medical imaging researchers, industry scientists and engineers, advanced undergraduate and graduate students, and clinicians.
Intelligent Healthcare: Infrastructure, Algorithms and Management
by Chinmay Chakraborty Mohammad R. KhosraviThe book Intelligent Healthcare: Infrastructure, Algorithms, and Management® 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:Ø Immersive technologies in healthcareØ Internet of medical thingsØ Federated learning algorithmsØ Explainable AI in Pervasive HealthcareØ New management principles using biomedical dataØ 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.
Intelligent Hydrogels in Diagnostics and Therapeutics
by Ajeet Kaushik Anujit GhosalThis book explores the potential of hydrogels as a multiutility system and their benefits (biocompatibility, degradability, and supporting scaffolds) for a wide range of applications in diagnostics and therapeutics. It also discusses the future prospects and challenges facing hydrogels. A wide variety of smart hydrogels (conducting, stimuli responsive, and others) with possible biomedical applications are elaborated. The book demonstrates the effectiveness of hydrogels in diagnostics of diseases in various in vivo and in vitro environments and highlights the engineering/functionalization of hydrogels for everyday drug dosage as an efficient drug carrier, scaffold, and sensing application. Explores the potential of hydrogels as a multifunctional system and their benefits, particularly for biomedical applications in diagnostics as well as therapeutics. Highlights the designing and engineering of hydrogels for everyday drug dosage and possible functionalization to fabricate an efficient drug carrier. Examines the significance of biopolymer-based hydrogels and their responsiveness in different physiological fluids. Demonstrates the effectiveness of hydrogels in diagnostics of diseases in various in,vivo and in,vitro environments. Presents challenges associated with the hydrogels and discusses possible in-hand modifications at length. Dr. Anujit Ghosal worked in the School of Biotechnology, Jawaharlal Nehru University, India. Currently, he is affiliated with the School of Life Sciences, Beijing Institute of Technology, Beijing, PRC. Dr. Ghosal researches in biochemistry, polymer chemistry, and nanotechnology. He has been the recipient of prestigious fellowships throughout his research career. His research ability is proven by his published peer-reviewed research and review articles and contributed book chapters. Dr. Ajeet Kaushik works as an assistant professor of chemistry and is exploring advanced electrochemical sensing systems and nanomedicine for personalized health wellness at the Department of Natural Sciences of the Division of Science, Arts, and Mathematics at Florida Polytechnic University, Lakeland, US. He is the recipient of various reputed awards for his service in the area of nanobiotechnology for health care. His excellent research credentials are reflected by his four edited books, 100 international research peer-reviewed publications, and three patents in the area of nanomedicine and smart biosensors for personalized health care.
Intelligent Interactive Multimedia Systems for e-Healthcare Applications
by Ajith Abraham Arturas Kaklauskas Amit Kumar TyagiThis book includes high-quality research on various aspects of intelligent interactive multimedia technologies in healthcare services. The topics covered in the book focus on state-of-the-art approaches, methodologies, and systems in the design, development, deployment, and innovative use of multimedia systems, tools, and technologies in healthcare. The volume provides insights into smart healthcare service demands. It presents all information about multimedia uses in e-healthcare applications. The book also includes case studies and self-assessment problems for readers and future researchers. This book proves to be a valuable resource to know how AI can be an alternative tool for automated and intelligent analytics for e-healthcare applications.
Intelligent Modeling, Prediction, and Diagnosis from Epidemiological Data: COVID-19 and Beyond (Chapman & Hall/CRC Computational Intelligence and Its Applications)
by Siddhartha BhattacharyyaIntelligent Modeling, Prediction, and Diagnosis from Epidemiological Data: COVID-19 and Beyond is a handy treatise to elicit and elaborate possible intelligent mechanisms for modeling, prediction, diagnosis, and early detection of diseases arising from outbreaks of different epidemics with special reference to COVID-19. Starting with a formal introduction of the human immune systems, this book focuses on the epidemiological aspects with due cognizance to modeling, prevention, and diagnosis of epidemics. In addition, it also deals with evolving decisions on post-pandemic socio-economic structure. The book offers a comprehensive coverage of the most essential topics, including: A general overview of pandemics and their outbreak behavior A detailed overview of CI techniques Intelligent modeling, prediction, and diagnostic measures for pandemics Prognostic models Post-pandemic socio-economic structure The accompanying case studies are based on available real-world data sets. While other books may deal with this COVID-19 pandemic, none features topics covering the human immune system as well as influences on the environmental disorder due to the ongoing pandemic. The book is primarily intended to benefit medical professionals and healthcare workers as well as the virologists who are essentially the frontline fighters of this pandemic. In addition, it also serves as a vital resource for relevant researchers in this interdisciplinary field as well as for tutors and postgraduate and undergraduate students of information sciences.
Intelligent Orthopaedics: Artificial Intelligence And Smart Image-guided Technology For Orthopaedics (Advances in Experimental Medicine and Biology #1093)
by Guoyan Zheng Xiahai Zhuang Wei TianThis book introduces readers to the latest technological advances in the emerging field of intelligent orthopaedics. Artificial intelligence and smart instrumentation techniques are now revolutionizing every area of our lives, including medicine. The applications of these techniques in orthopaedic interventions offer a number of potential benefits, e.g. reduced incision size and scarring, minimized soft tissue damage, and decreased risk of misalignment. Consequently, these techniques have become indispensable for various orthopaedic interventions, which has led to the emerging field of intelligent orthopaedics. Addressing key technologies and applications, this book offers a valuable guide for all researchers and clinicians who need an update on both the principles and practice of intelligent orthopaedics, and for graduate students embarking on a career in this field.
Intelligent Polymers for Nanomedicine and Biotechnologies
by Magdalena AfloriAlmost all synthetic materials over time induce some level of inflammation and fibrosis. Therefore, even though the successes of biomaterials science in producing acceptable solutions to the problem of biocompatibility have been remarkable, there remains enormous opportunity for improvement. The goal is the development of intelligent materials that replicate and mimic the ability of tissues and biological materials to adapt and renew. <P><P>This book describes the synthesis and the analysis of new smart polymeric materials and their practical implications in nanomedicine and biotechnology. It offers a comprehensive overview, gathering recent and innovative research on multiple aspects within the field of smart polymeric materials that offer new perspectives in developing current advanced biotechnologies. The text contains both experimental and theoretical issues that reflect the impact of the materials characteristics in target applications. It deals with recent advances in the design of new polymeric materials for advanced applications but also on the study of their structure-properties relationship in order to move from completely inert, static structures to flexible ones capable to respond to environmental changes.
Intelligent Robotics and Applications
by Honghai Liu Hao Wu Zhouping Yin Yongan HuangThese two volumes constitute the refereed proceedings of the First International Conference on Intelligent Robotics and Applications, ICIRA 2008, held in Wuhan, China, in October 2008. The 265 revised full papers presented were thoroughly reviewed and selected from 552 submissions; they are devoted but not limited to robot motion planning and manipulation; robot control; cognitive robotics; rehabilitation robotics; health care and artificial limb; robot learning; robot vision; human-machine interaction & coordination; mobile robotics; micro/nano mechanical systems; manufacturing automation; multi-axis surface machining; realworld applications.
Intelligent Robotics and Applications
by Honghai Liu Hao Wu Zhouping Yin Yongan HuangThese two volumes constitute the refereed proceedings of the First International Conference on Intelligent Robotics and Applications, ICIRA 2008, held in Wuhan, China, in October 2008. The 265 revised full papers presented were thoroughly reviewed and selected from 552 submissions; they are devoted but not limited to robot motion planning and manipulation; robot control; cognitive robotics; rehabilitation robotics; health care and artificial limb; robot learning; robot vision; human-machine interaction & coordination; mobile robotics; micro/nano mechanical systems; manufacturing automation; multi-axis surface machining; realworld applications.
Intelligent Robotics and Applications: 10th International Conference, Icira 2017, Wuhan, China, August 16-18, 2017. Proceedings, Part I (Lecture Notes in Computer Science #10462)
by Honghai Liu Hao Wu Zhouping Yin Yongan HuangThese two volumes constitute the refereed proceedings of the First International Conference on Intelligent Robotics and Applications, ICIRA 2008, held in Wuhan, China, in October 2008. The 265 revised full papers presented were thoroughly reviewed and selected from 552 submissions; they are devoted but not limited to robot motion planning and manipulation; robot control; cognitive robotics; rehabilitation robotics; health care and artificial limb; robot learning; robot vision; human-machine interaction & coordination; mobile robotics; micro/nano mechanical systems; manufacturing automation; multi-axis surface machining; realworld applications.
Intelligent Sustainable Systems: Selected Papers of WorldS4 2021, Volume 2 (Lecture Notes in Networks and Systems #334)
by Durgesh Kumar Mishra Atulya K. Nagar Dharm Singh Jat Gabriela Marín-RaventósThis book provides insights of World Conference on Smart Trends in Systems, Security and Sustainability (WS4 2021) which is divided into different sections such as Smart IT Infrastructure for Sustainable Society; Smart Management prospective for Sustainable Society; Smart Secure Systems for Next Generation Technologies; Smart Trends for Computational Graphics and Image Modeling; and Smart Trends for Biomedical and Health Informatics. The proceedings is presented in two volumes. The book is helpful for active researchers and practitioners in the field.
Intelligent Systems and Methods to Combat Covid-19 (SpringerBriefs in Applied Sciences and Technology)
by Nilanjan Dey Amit Joshi K. C. SantoshThis book discusses intelligent systems and methods to prevent further spread of COVID-19, including artificial intelligence, machine learning, computer vision, signal processing, pattern recognition, and robotics. It not only explores detection/screening of COVID-19 positive cases using one type of data, such as radiological imaging data, but also examines how data analytics-based tools can help predict/project future pandemics. In addition, it highlights various challenges and opportunities, like social distancing, and addresses issues such as data collection, privacy, and security, which affect the robustness of AI-driven tools. Also investigating data-analytics-based tools for projections using time series data, pattern analysis tools for unusual pattern discovery (anomaly detection) in image data, as well as AI-enabled robotics and its possible uses, the book will appeal to a broad readership, including academics, researchers and industry professionals.
Intelligent Systems for Sustainable Person-Centered Healthcare (Intelligent Systems Reference Library #205)
by Dalia Kriksciuniene Virgilijus SakalauskasThis open access book establishes a dialog among the medical and intelligent system domains for igniting transition toward a sustainable and cost-effective healthcare. The Person-Centered Care (PCC) positions a person in the center of a healthcare system, instead of defining a patient as a set of diagnoses and treatment episodes. The PCC-based conceptual background triggers enhanced application of Artificial Intelligence, as it dissolves the limits of processing traditional medical data records, clinical tests and surveys. Enhanced knowledge for diagnosing, treatment and rehabilitation is captured and utilized by inclusion of data sources characterizing personal lifestyle, and health literacy, and it involves insights derived from smart ambience and wearables data, community networks, and the caregivers’ feedback. The book discusses intelligent systems and their applications for healthcare data analysis, decision making and process design tasks. The measurement systems and efficiency evaluation models analyze ability of intelligent healthcare system to monitor person health and improving quality of life.
Intelligent Systems in Medicine and Health: The Role of AI (Cognitive Informatics in Biomedicine and Healthcare)
by Vimla L. Patel Edward H. Shortliffe Trevor A. CohenThis textbook comprehensively covers the latest state-of-the-art methods and applications of artificial intelligence (AI) in medicine, placing these developments into a historical context. Factors that assist or hinder a particular technique to improve patient care from a cognitive informatics perspective are identified and relevant methods and clinical applications in areas including translational bioinformatics and precision medicine are discussed. This approach enables the reader to attain an accurate understanding of the strengths and limitations of these emerging technologies and how they relate to the approaches and systems that preceded them. With topics covered including knowledge-based systems, clinical cognition, machine learning and natural language processing, Intelligent Systems in Medicine and Health: The Role of AI details a range of the latest AI tools and technologies within medicine. Suggested additional readings and review questions reinforce the key points covered and ensure readers can further develop their knowledge. This makes it an indispensable resource for all those seeking up-to-date information on the topic of AI in medicine, and one that provides a sound basis for the development of graduate and undergraduate course materials.
Intelligent Technologies for Healthcare Business Applications (Signals and Communication Technology)
by Constandinos X. Mavromoustakis George Mastorakis Evangelos Pallis Evangelos K. Markakis Athina BourdenaThis book covers a wide range of applications and scenarios of intelligent technologies for healthcare business applications. The authors adopt an interdisciplinary approach with both theoretical and practical approaches in order to be relevant to multiple audiences. This book encapsulates fundamental and cutting-edge research paradigms of intelligent healthcare environments and addresses related open-ended research issues. The authors also explore recent advances, disseminate state-of-the-art techniques, and deploy novel technologies in intelligent healthcare services and applications. The book features a broad appeal to electrical, electronic, computer, software and telecommunications engineers in the healthcare space. Covers a range of applications and scenarios of intelligent technologies for healthcare business applications Explores advances, disseminates techniques, and deploys novel technologies in intelligent healthcare services Features paradigms of intelligent healthcare environments and addresses open-ended research issues
Intelligent Vision in Healthcare (Studies in Autonomic, Data-driven and Industrial Computing)
by Karm Veer Arya Harish Sharma Mukesh SaraswatThis book focuses on various aspects of computer vision applications in the field of healthcare. It covers new tools and technologies in some of the important areas of medical science like histopathological image analysis, cancer taxonomy, use of deep learning architecture dental care, and many more. Furthermore, this book reviews and discusses the use of intelligent learning-based algorithms for increasing the precision in medical domain. The book discusses different computer vision algorithms which are useful in various industries and day-to-day life. It also highlights many challenges faced by research community, like view point variations, scale variations, illumination variations, multi-modalities, and noise.
Intelligent and Adaptive Systems in Medicine (Series in Medical Physics and Biomedical Engineering)
by Olivier C. L. Haas Keith J. BurnhamIntelligent and adaptive techniques are rapidly being used in all stages of medical treatment, from the initial diagnosis to planning delivery and follow-up therapy.To realize the full potential of these techniques, developers and end users must understand both the underlying technology and the specifics of the medical application considered. Focus
Intelligente Nano-Bio-Geräte der nächsten Generation
by Arindam Biswas Gorachand DuttaDieses Buch befasst sich mit den Herausforderungen bei der Entwicklung einer Point-of-Care-Testplattform. Das Buch beschreibt Assays auf Basis gedruckter Chips (Lab-on-a-Chip, Lab-on-a-PCB) für den schnellen, kostengünstigen Nachweis von Biomarkern in realen Proben. Die größten Herausforderungen bei Point-of-Care-Tests sind die Implementierung komplexer Analysemethoden in kostengünstige Technologien. Dies gilt insbesondere für Länder mit einer weniger entwickelten Gesundheitsinfrastruktur. Waschfreie, Lab-on-Chip- und Lab-on-PCB-Techniken sind sehr einfach und innovativ für die Entwicklung von Point-of-Care-Geräten. Mit der Redox-Cycling-Technologie können mehrere interessante Targets gleichzeitig auf einem gedruckten Chip nachgewiesen werden. Die vorgeschlagenen Bereiche sind von Natur aus disziplinübergreifend und vereinen Fachwissen aus den Bereichen Biosensorik, Elektrochemie, Elektronik und Elektrotechnik, Gesundheitswesen und Fertigung. Dieses Buch befasst sich mit den jüngsten Fortschritten und verschiedenen Forschungsfragen im Bereich der Nanobiotechnologie-gestützten Biosensorik und sucht nach theoretischen, methodischen, etablierten und validierten empirischen Arbeiten, die sich mit diesen verschiedenen Themen befassen.
Intelligenzminderung
by Frank HäßlerDie Kenntnis der verschiedenen Ausprägungsarten von geistiger Behinderung und Minderbegabung ist entscheidend für Diagnose und Therapie. Früh beginnende Fördermaßnahmen sind notwendig, damit Kinder die Fähigkeiten und Fertigkeiten erlernen, die ihnen eine Teilhabe am sozialen Leben ermöglichen. Bei der Reihe "Manuale psychischer Störungen bei Kindern und Jugendlichen" steht der Patient im Mittelpunkt. Die Bücher bieten Betroffenen Tipps und Tricks zur Bewältigung des Alltags, Therapeuten erhalten wissenschaftlich fundierte Informationen.