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Books > Medicine > General issues > Medical equipment & techniques > General
Evaluation Methods in Medical Informatics, Second Edition is a heavily updated and revised volume based on editors Friedman and Wyatt's successful first edition. This book incorporates the solid foundation of evaluation theories, methods, and techniques laid out in the first edition, and builds on it to include case studies from real world situations. Designed as a guide for both the informatics novice and the seasoned professional seeking a comprehensive resource, this book explores information systems evaluation from the ground up. Critique and disscussion of actual evaluation efforts will guide the reader through real world application of the techniques described. Just like its first edition, this volume is an unparalled reference for a broad range of health information professionals. From those in training for careers in informatics to on-site medical information systems staff, Evaluation Methods in Medical Informatics, Second Edition is an invaluable guide to successful evaluation of information technology in health care.
Cognitive Intelligence with Neutrosophic Statistics in Bioinformatics investigates and presents the many applications that have arisen in the last ten years using neutrosophic statistics in bioinformatics, medicine, agriculture and cognitive science. This book will be very useful to the scientific community, appealing to audiences interested in fuzzy, vague concepts from which uncertain data are collected, including academic researchers, practicing engineers and graduate students. Neutrosophic statistics is a generalization of classical statistics. In classical statistics, the data is known, formed by crisp numbers. In comparison, data in neutrosophic statistics has some indeterminacy. This data may be ambiguous, vague, imprecise, incomplete, and even unknown. Neutrosophic statistics refers to a set of data, such that the data or a part of it are indeterminate in some degree, and to methods used to analyze the data.
This teaching monograph on systems approaches to cancer research and clinical applications provides a unique synthesis, by world-class scientists and doctors, of laboratory, computational, and clinical methods, thereby establishing the foundations for major advances not possible with current methods. Specifically, the book: 1) Sets the stage by describing the basis of systems biology and bioinformatics approaches, and the clinical background of cancer in a systems context; 2) Summarizes the laboratory, clinical, data systems analysis and bioinformatics tools, along with infrastructure and resources required; 3) Demonstrates the application of these tools to cancer research; 4) Extends these tools and methods to clinical diagnosis, drug development and treatment applications; and 5) Finishes by exploring longer term perspectives and providing conclusions. This book reviews the state-of-the-art, and goes beyond into new applications. It is written and highly referenced as a textbook and practical guide aimed at students, academics, doctors, clinicians, industrialists and managers in cancer research and therapeutic applications. Ideally, it will set the stage for integration of available knowledge to optimize communication between basic and clinical researchers involved in the ultimate fight against cancer, whatever the field of specific interest, whatever the area of activity within translational research.
Featuring 26 chapters by doctors and other researchers, this handbook reviews the basic information and offers specific instructions concerning: informed consent, conscious sedation and monitoring, antibiotic prophylaxis, endoscopic electrosurgery, the benign esophagus, esophageal manometry, pH test
This book introduces a new cyberphysical system that combines clinical and basic neuroscience research with advanced data analysis and medical management tools for developing novel applications for the management of epilepsy. The authors describe the algorithms and architectures needed to provide ambulatory, diagnostic and long-term monitoring services, through multi parametric data collection. Readers will see how to achieve in-hospital quality standards, addressing conventional "routine" clinic-based service purposes, at reduced cost, enhanced capability and increased geographical availability. The cyberphysical system described in this book is flexible, can be optimized for each patient and is demonstrated in several case studies.
Information Communication Technologies (ICT) have become an increasingly prevalent part of everyday life. Today, there are many cases in which ICT assist the elderly and people with disabilities to complete tasks once thought impossible. Enhancing the Human Experience through Assistive Technologies and E-Accessibility discusses trends in ICT in relation to assistive technologies and their impact on everyday tasks for those with disabilities. This reference work provides different perspectives on upcoming technologies and their impact on e-accessibility and e-inclusion, essential topics for researchers, businesses, and ICT product developers in the field of assistive technologies.
From bandage to the bioreactor, this book looks at five different device technologies from inception to healthcare practice, drawing on medical sociology, science and technology studies and political science. It examines "evidence," regulation and governance processes, and diverse stakeholders in innovating the technologies that shape health care.
This book highlights the responsibility of medical device designers and engineers to eliminate sites of failure and to test devices to demonstrate their ultimate safety and efficacy. It also evaluates biomaterials and their properties as related to the design and reliability of medical devices. The principles that are described are readily applicable to the biomaterial scaffolds used for generating tissue-engineered constructs.
The term "muscular dystrophy" (MD) describes a group of primary genetic disorders of muscle that often have a distinctive and recognizable clinical p- notype, accompanied by characteristic, but frequently not pathognomonic, pathological features. Research into the molecular basis of the MDs by a c- bination of positional cloning and candidate gene analysis has provided the basis for a reclassification of these disorders, with genetic and protein data augmenting traditional clinically based nomenclature. These findings have brought insights into the molecular pathogenesis of MD, with an increasing number of potential pathways involved in arriving at a dystrophic phenotype. Some common themes can be recognized, however, including the involvement of five members of the dystrophin-associated complex (dystrophin and four sarcoglycans) in different types of MD, and the involvement of two nuclear envelope proteins in producing an Emery-Dreifuss MD phenotype. Other d- ease-associated genes appear to cause MD in a completely unrelated way, such as the involvement of calpain 3 in a form of limb-girdle muscular dystrophy. Section 1 of Muscular Dystrophy: Methods and Protocols reviews tra- tional strategies used to identify MDs. Meantime, techniques developed as a result of the research strategies described previously have become an integral part of the management of many patients with MD and their families, and these techniques are addressed in Sections 2 (DNA-based tests) and 3 (p- tein-based analyses). The continued effort to translate this enhanced und- standing into a molecular cure or treatment for MD is reviewed in Section 4.
Recent years have seen an upsurge of significant interest in cell-based technologies. A range of productive and lively debate have taken place relating to tissue engineering, namely the construction of tissues and whole organs using molecularly-designed resorbable biomaterials to create tissue de novo, the potential use of human embryonic stem cells for transplantation and regenerative medicine, with similar potential for adult-derived stem cells, and gene therapy, in relation to cell transplantation. New findings in biomimetic materials, cell signalling pathways, extracellular matrix receptors and ligands, growth factors, and the human genome project, all present particularly motivating sources for the development of research in the evergrowing biomedical field. The purpose of this book is to stimulate further the work in biomedicine and to make the issues of related scientific disciplines accessible to a wider readership by characterising the current state of research in the biomedical field. The lectures and a selection of the presentations from BlOMED 200- th The 9 International Symposium on Biomedical Science and Technology, held in September 2002 in Turkey- constitute the basis for the volume. Tissue engineering, stem cells, cell and gene therapies were the major topics presented and discussed in the symposium. This book is intended to serve as an up-to-date synopsis of the major developments of our area through the work reflected in BlOMED 2002, though not covering all aspects of the topics, due to the natural restrictions within a volume of this kind.
Phototherapy exemplifies scientific medicine. The major advances have resulted from effective collaborations between basic researchers and clinicians. This book is directed to clinicians and basic researchers who are interested in current and emerging implementations of phototherapy. It can serve as an introductory reference and a textbook for advanced undergraduate and graduate courses in medical physics and biomedical engineering. The emphasis is on the science underlying the various phototherapy procedures, which encompasses aspects of classical and molecular photophysics, biological photochemistry, photobiology and biophotonics. Topics that do not usually appear in other general sources include the theory and applications of tissue optics, Monte Carlo simulation, light dosimetry, and analytical modeling of laser surgery. Many illustrative problems with answers are provided to exemplify the more quantitative aspects of each topic.
This book covers emerging trends in signal processing research and biomedical engineering, exploring the ways in which signal processing plays a vital role in applications ranging from medical electronics to data mining of electronic medical records. Topics covered include statistical modeling of electroencephalograph data for predicting or detecting seizure, stroke, or Parkinson's; machine learning methods and their application to biomedical problems, which is often poorly understood, even within the scientific community; signal analysis; medical imaging; and machine learning, data mining, and classification. The book features tutorials and examples of successful applications that will appeal to a wide range of professionals and researchers interested in applications of signal processing, medicine, and biology.
Computational Intelligence is comparatively a new field but it has made a tremendous progress in virtually every discipline right from engineering, science, business, m- agement, aviation to healthcare. Computational intelligence already has a solid track-record of applications to healthcare, of which this book is a continuation. We would like to refer the reader to the excellent previous volumes in this series on computational intelligence in heal- care [1-3]. This book is aimed at providing the most recent advances and state of the art in the practical applications of computational intelligence paradigms in healthcare. It - cludes nineteen chapters on using various computational intelligence methods in healthcare such as intelligent agents and case-based reasoning. A number of fielded applications and case studies are presented. Highlighted are in particular novel c- putational approaches to the semantic management of health information such as in the Web 2.0, mobile agents such as in portable devices, learning agents capable of adapting to diverse clinical settings through case-based reasoning, and statistical - proaches in computational intelligence. This book is targeted towards scientists, application engineers, professors, health professionals, professors, and students. Background information on computational intelligence has been provided whenever necessary to facilitate the comprehension of a broad audience including healthcare practitioners.
The generation of tridimensional tissues, assembled from scaffolding materials populated with biologically functional cells, is the great challenge and hope of tissue bioengineering and regenerative medicine. The generation of biomaterials capable of harnessing the immune system has been particularly successful. This book provides a comprehensive view of how immune cells can be manipulated to suppresses inflammation, deliver vaccines, fight cancer cells, promote tissue regeneration or inhibit blood clotting and bacterial infections by functionally engineered biomaterials. However, long-lived polymers, such as those employed in orthopedic surgery or vascular stents, can often induce an immune reaction to their basic components. As a result, this book is also an important step towards coming to understand how to manipulate biomaterials to optimize their beneficial effects and downplay detrimental immune responses.
Dr. Myrtle A. Davis has assembled a panel of cutting-edge scientists to describe their best methods for detecting, illuminating, and quantifying apoptotic mechanisms in a way that is useful for the design of toxicology and pharmacology studies. These state-of-the-art techniques include flow cytometric, fluorometric, and laser scanning methods for quantifying and characterizing apoptosis, as well as protocols for the use of DNA microarray technology, high throughput screens, and ELISA. Immunocytochemical methods for measuring biochemical and molecular endpoints in tissue sections will be highly useful for those carrying out studies in whole animal models as opposed to cell culture systems.
Medical Informatics and biomedical computing have grown in quantum measure over the past decade. An abundance of advances have come to the foreground in this field with the vast amounts of biomedical and genomic data, the Internet, and the wide application of computer use in all aspects of medical, biological, and health care research and practice. MEDICAL INFORMATICS: Knowledge Management and Data Mining in Biomedicine covers the basic foundations of the area while extending the foundational material to include the recent leading-edge research in the field. The newer concepts, techniques, and practices of biomedical knowledge management and data mining are introduced and examined in detail. It is the research and applications in these areas that are raising the technical horizons and expanding the utility of informatics to an increasing number of biomedical professionals and researchers. The book is divided into three major topical sections. Section I presents the foundational information and knowledge management material and includes topics such as: bioinformatics challenges and standards, security and privacy, ethical and social issues, and biomedical knowledge mapping. Section II discusses the topics which are relevant to knowledge representations & access and includes topics such as: representations of medical concepts and relationships, genomic information retrieval, 3D medical informatics, public access to anatomic images, and creating and maintaining biomedical ontologies. Section III examines the emerging application research in data mining, biomedical textual mining, and knowledge discovery research and includes topics such as: semantic parsing and analysisfor patient records, biological relationships, gene pathways, and metabolic networks, exploratory genomic data analysis, joint learning using data and text mining, and disease informatics and outbreak detection. The book is a comprehensive presentation of the foundations and leading application research in medical informatics/biomedicine. These concepts and techniques are illustrated with detailed case studies. The authors are widely recognized professors and researchers in Schools of Medicine and Information Systems from the University of Arizona, University of Washington, Columbia University, and Oregon Health & Science University. In addition, individual expert contributing authors have been commissioned to write chapters for the book on their respective topical expertise.
The promise and prospects for mobile technologies in healthcare service delivery-particularly as experienced by patients and other users-are the focus of this forward-looking volume. Its detailed sociotechnical perspective takes in factors influencing patient and provider adoption of technological advances, in addition to the well-known cost and accessibility advantages. Enlightening reports show mobile health technologies in multiple contexts as an impetus for behavioral change, a means of monitoring health changes, a growing trend in service delivery, and an emerging health frontier worldwide. Together, these chapters point to the continued expansion-and global reach-of mobile technology in the next stage of healthcare services. Included in the coverage: Behavior change techniques used in mobile applications targeting physical activity: a systematic review Mobile health integration in pregnancy Unintended users, uses, and consequences of mobile weight loss apps: using eating disorders as a case study Intention vs. perception: understanding the differences in physicians' attitudes towards mobile health applications HealthGuide: a personalized mobile patient guidance system Adoption of sensors in mobile health Current and Emerging mHealth Technologies is salient reading for researchers interested in mobile health development and implementation as well as technology adoption, and mobile health system developers and managers who are interested in the implications of mobile health use by patients and/or healthcare professionals. It can also be used for courses in technology adoption and health technologies.
In this book, leading authors in the field discuss developments of Ambient Assisted Living. The contributions have been chosen and invited at the 8th AAL Congress, Frankfurt/M. The meeting presents new technological developments which support the autonomy and independence of individuals with special needs. The 8th AAL Congress focusses its attention on technical assistance systems and their applications in homecare, health and care.
Probabilistic Modelling in Bioinformatics and Medical Informatics has been written for researchers and students in statistics, machine learning, and the biological sciences. The first part of this book provides a self-contained introduction to the methodology of Bayesian networks. The following parts demonstrate how these methods are applied in bioinformatics and medical informatics. All three fields - the methodology of probabilistic modeling, bioinformatics, and medical informatics - are evolving very quickly. The text should therefore be seen as an introduction, offering both elementary tutorials as well as more advanced applications and case studies.
This book introduces approaches that have the potential to transform the daily practice of psychiatrists and psychologists. This includes the asynchronous communication between mental health care providers and clients as well as the automation of assessment and therapy. Speech and language are particularly interesting from the viewpoint of psychological assessment. For instance, depression may change the characteristics of voice in individuals and these changes can be detected by a special form of speech analysis. Computational screening methods that utilize speech and language can detect subtle changes and alert clinicians as well as individuals and caregivers. The use of online technologies in mental health, however, poses ethical problems that will occupy concerned individuals, governments and the wider public for some time. Assuming that these ethical problems can be solved, it should be possible to diagnose and treat mental health disorders online (excluding the use of medication). Speech and language are particularly interesting from the viewpoint of psychological assessment. For instance, depression may change the characteristics of voice in individuals and these changes can be detected by a special form of speech analysis. Computational screening methods that utilize speech and language can detect subtle changes and alert clinicians as well as individuals and caregivers. The use of online technologies in mental health, however, poses ethical problems that will occupy concerned individuals, governments and the wider public for some time. Assuming that these ethical problems can be solved, it should be possible to diagnose and treat mental health disorders online (excluding the use of medication).
This text examines in detail mathematical and physical modeling, computational methods and systems for obtaining and analyzing biological structures, using pioneering research cases as examples. As such, it emphasizes programming and problem-solving skills. It provides information on structure bioinformatics at various levels, with individual chapters covering introductory to advanced aspects, from fundamental methods and guidelines on acquiring and analyzing genomics and proteomics sequences, the structures of protein, DNA and RNA, to the basics of physical simulations and methods for conformation searches. This book will be of immense value to researchers and students in the fields of bioinformatics, computational biology and chemistry. Dr. Dongqing Wei is a Professor at the Department of Bioinformatics and Biostatistics, College of Life Science and Biotechnology, Shanghai Jiaotong University, Shanghai, China. His research interest is in the general area of structural bioinformatics.
Biomedical Engineering Principles in Sports contains in-depth discussions on the fundamental biomechanical and physiological principles underlying the acts of throwing, shooting, hitting, kicking, and tackling in sports, as well as vision training, sports injury, and rehabilitation. The topics include: -Golf ball aerodynamics and golf club design, -Golf swing and putting biomechanics, -Tennis ball aerodynamics and ball- and shoe-surface interactions, -Tennis stroke mechanics and optimizing ball-racket interactions, -Baseball pitching biomechanics and perceptual illusions of batters, -Football forward pass aerodynamics and tackling biomechanics, -Soccer biomechanics, -Basketball aerodynamics and biomechanics, -Vision training in sports, -Children maturation and performance, -Rehabilitation and medical advances in treatment of sports injuries. This book is essential reading for biomedical engineers, physicists, sport scientists, and physiologists who wish to update their knowledge of biomechanical and biomedical principles and their applications to sports. The book can be used in a one-semester Senior or Graduate-level course in Biomechanics, Biomedical Engineering, Sports Technology, Sports Medicine, or Exercise Physiology. In addition, it will be of value to interested athletic laypersons who enjoy watching or participating in sports such as golf, tennis, softball, football, soccer, and basketball. |
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