Using examples drawn from biomedicine and biomedical engineering, this essential reference book brings you comprehensive coverage of all the major techniques currently available to build computer-assisted decision support systems. You will find practical solutions for biomedicine based on current theory and applications of neural networks, artificial intelligence, and other methods for the development of decision aids, including hybrid systems. Neural Networks and Artificial Intelligence for Biomedical Engineering offers students and scientists of biomedical engineering, biomedical informatics, and medical artificial intelligence a deeper understanding of the powerful techniques now in use with a wide range of biomedical applications. Highlighted topics include: Types of neural networks and neural network algorithms Knowledge representation, knowledge acquisition, and reasoning methodologies Chaotic analysis of biomedical time series Genetic algorithms Probability-based systems and fuzzy systems Evaluation and validation of decision support aids
This book focuses on approaches to computer-assisted medical decision-making. A unique feature of the book is that a specific problem in medical decision-making has been selected from the literature, with each contributed chapter presenting a different approach to the solution of the same problem. Theoretical foundations for each approach are provided, followed by practical application. Techniques include knowledge-based reasoning, neural network models, hybrid systems, reasoning with uncertainty, and fuzzy logic, among others. The goal is to supply the reader with a variety of theoretical techniques whose practical implementation can be clearly understood through the example. Using a single, concrete example to illustrate different theoretical approaches allows various techniques to be easily contrasted and permits the reader to determine which aspects are pertinent to specific types of applications. Although the methods are illustrated in a medical problem, they have wide applicability in numerous areas of decision-making.
The 1987 Cargese Summer Institute on Partiele Physies was organized by the Universite Pierre et Marie Curie, Paris (M. LEVY and J.-L. BASDEVANT), CERN (M. JACOB), the Universite Catholique de Louvain (D. SPEISER and J. WEYERS), and the Katholieke Universiteit te Leuven (R. GASTHANS), whieh, sinee 1975, have joined their efforts and worked in eommon. It was the 25th summer institute held at Cargese and the ninth one organized by the two institutes of theoretieal physics at Leuven and Louvain-la-Neuve. The 1987 school was centered around two main themes: the re cent developments in string theory and the physics of high energy colliders. As the standard model of the fundamental interaetions has repeatedly proved to be suecessful in explaining the experimental findings in par tiele physies, more attention was given in this school to possible new features arising from string inspired models. This led us to inelude in the program aseries of lectures devoted to string theory per se. They eovered the more mathematical aspects of the theory as weIl as the phenomenological implications. The second theme concerns high energy collider physics and was meant to prepare young physicists for the future experimental results to be expected from the pp and e+e- colliders. It brought theorists and ex perimentalists actively together in their search for a better understand ing of the high energy phenomena.
Breaking Away sounds a warning call alerting readers that their privacy and autonomy concerns are indeed warranted, and the remedies deserve far greater attention than they have received from our leading policymakers and experts to date. Through the various prisms of economic theory, market data, policy, and law, the book offers a clear and accessible insight into how a few powerful firms - Google, Apple, Facebook (Meta), and Amazon - have used the same anticompetitive playbook and manipulated the current legal regime for their gain at our collective expense. While much has been written about these four companies' power, far less has been said about addressing their risks. In looking at the proposals to date, however, policymakers and scholars have not fully addressed three fundamental issues: First, will more competition necessarily promote our privacy and well-being? Second, who owns the personal data, and is that even the right question? Third, what are the policy implications if personal data is non-rivalrous? Breaking Away not only articulates the limitations of the current enforcement and regulatory approach but offers concrete proposals to promote competition, without having to sacrifice our privacy. This book explores how these platforms accumulated their power, why the risks they pose are far greater than previously believed, and why the tools need to be far more robust than what is being proposed. Policymakers, scholars, and business owners, managers, and entrepreneurs seeking to compete and innovate in the digital platform economy will find the book an invaluable source of information.
The classic "teaching text" in neurology is completely revised & features a new art program & the latest advances in diagnosis & treatment. Each chapter has been rigorously reviewed & updated. Includes new coverage of pupillary function, sleep, syncope, inherited metabolic disease, degenerative disease, epilepsy, cerebellar disease & much more. throughout, new CT & MR images facilitate neurologic diagnosis. Most Importantly, the winning organization remains the systematic progression from cardinal manifestations of disease, to how these manifestations are arranged in neurologic syndromes, to matching theses syndromes to specific neurologic diseases.
Covers symptoms and signs of disordered nervous function, their analysis in terms of anatomy and physiology, and their clinical implications. Also included are accounts of occurrences of the syndromes and descriptions of main categories and types of disease that express themselves by each syndrome.
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