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AI in clinical practice : A guide to artificial intelligence and digital medicine
Explains how artificial intelligence is applied to medicine, illustrating not only its enormous potential but also ancillary issues and the limits and risks inherent in its use on a large scale. The book focuses on the intersection between medicine and AI and its implications on the impact of human health care delivery. Topics discussed include wearable devices, health data, Internet of Things, virtual reality, robotic assistance system, and digital intelligence in the health sector. Additionally, sections discuss diagnostics and decision-making systems and machine/deep learning in clinical setting.
Issues of Decapod Crustacean Biology
This volume presents the proceedings of the eighth Colloquium Crustacea Decapoda Mediterranea, which was held at the Ionian University on Corfu Island, Greece, from 2 to 6 September 2002, and reflects recent advancements in decapod crustacean research. The meeting is the oldest European carcinological event, organized regularly at 3-year intervals since 1972. Although focused on the Mediterranean Sea, worldwide contributions provided a forum for fruitful contact and scientific exchange. The book covers up-to-date issues in decapod crustacean research, including genetics, morphology, reproduction, ecology, behaviour and fisheries, and it is primarily aimed at scientists interested in decapod crustacean research, but other scientists and decision-makers working on marine ecology and fisheries will also find up-to-date information on relevant issues.
Competence and Vulnerability in Biomedical Research
In this book, the author develops a novel justificatory framework for making judgments of decisional competence to consent to biomedical research with reference to five groups of cognitively vulnerable individuals - older children and adolescents, adults with intellectual disabilities, adults with depression, adults with schizophrenia and adults with dementia, including Alzheimer’s disease.
Clinical decision support systems : Theory and practice
Writes the editor, "If used properly, CDSS have the potential to change the way medicine has been taught and practiced." As clinical decision support systems (CDSS) gain an increasingly central role in the delivery of high quality health care, it becomes more important for the health care community to understand their use. This text is designed as a resource for practicing clinicians, informaticians, teachers and students alike, and provides the most current, comprehensive look a the development and evaluation of clinical decision support systems.
Claytons basic pharmacology for nurses
Helps you understand the principles of pharmacology and apply them to nursing practice. Known for its practical application of the nursing process to drugs and disorders, this book explains how to make informed decisions about drug therapy, educate patients, and administer medications. This edition adds new Next Generation NCLEX® (NGN)-style case studies and questions to prepare you for the critical thinking questions on the NGN exam. Concise and easy to use, this text teaches the basics of medication administration and drug actions.
Biopharmaceutics applications in drug development
This book introduces fundamental concepts, methods, and advances in the areas of dissolution, absorption, and permeability and their key applications in dosage form performance. Case studies are used to discuss the applications of biopharmaceutic strategies in the development of successful drugs, with a specific focus on the applications of biopharmaceutic strategies in the development of successful drugs. The book presents an integrated view in linking pharmaceutic to the biological consequences of drug products and leverages those for decision making in drug development.
Bioethics in Law
The idea for Bioethics in Law began more than a decade ago, while I was studying social science and law. I was parti- larly interested in the collaborations that comprised social s- ence in law. Economic and social data in the pioneering Brandeis brief had been used to defend an early 20th-century labor law; surveys of consumer confusion had helped resolve trademark - fringement cases; psychologists’ predictions of future violence had informed capital sentencing decisions. Additionally, Kenneth Clark’s “doll studies,” cited by the Supreme Court in Brown v. Board of Education, had helped change the course of American 1 history.
Benign anorectal diseases : Diagnosis with endoanal and endorectal ultrasound and new treatment options
New three-dimensional endoanal and endorectal ultrasonographic and magnetic resonance imaging techniques have given better insight into the complex anatomy of the pelvic floor and its pathologic modification in benign anorectal diseases. Obstetrical events leading to fecal incontinence in females, the relationship between fistulous tracks and the sphincter complex, and mechanisms of obstructed defecation syndrome can now be accurately evaluated, which is of fundamental importance for decision making.
Anaesthesia, pain, intensive care and emergency medicine A.P.I.C.E. ; Proceedings of the 21st Postgraduate Course in Critical Medicine: Venice-Mestre, Italy - November 10-13, 2006
Developing sectors in the Intensive Care field – and in Critical Care Medicine in general – require specific levels of competence having a same common denominator: an in-depth knowledge of human pathophysiology. Although this volume presents plenty of topics in constant evolution, as witnessed by the collection of chapters compiled by several researchers, this edition includes, in particular, fields in which decision-making at the patient’s bedside prevails over theoretical argumentation. In other words, the first and foremost message this edition wants to provide is for the reader to focus his/her attention on evidence-based medicine.
Agricultural Research Management
Agricultural research is one of the most widespread forms of organized research in the world, in both developed and developing countries. Management of agricultural research involves many decisions that have scientific, social and political consequences. Every country has established agricultural research priorities based on many complex factors that must be considered when decisions are made on the choice of research problems to be investigated. Resources must be divided among projects that often compete for the limited funding available that supports the total research enterprise.
Adaptive dynamic programming for chemotherapy drug delivery
Focuses on the practical application of Adaptive Dynamic Programming (ADP) in chemotherapy drug delivery, taking into account clinical variables and real-time data. ADP's ability to adapt to changing conditions and make optimal decisions in complex and uncertain situations makes it a valuable tool in addressing pressing challenges in healthcare and other fields. As optimization technology evolves, we can expect to see even more sophisticated and powerful solutions emerge.
Asylum Matters : On the Front Line of Administrative Decision-Making
This book examines everyday practices in an asylum administration. Asylum decisions are often criticised as being ‘subjective’ or ‘arbitrary’. Asylum Matters turns this claim on its head.
Asylum Determination in Europe : Ethnographic Perspectives
The book includes a legal overview of European asylum determination procedures, followed by sections on the diverse actors involved, the means by which they communicate, and the ways in which they make life and death decisions on a daily basis. It offers a contextually rich account that moves beyond doctrinal law to uncover the gaps and variances between formal policy and legislation, and law as actually practiced.
Managed Software Evolution
This open access book presents the outcomes of the “Design for Future – Managed Software Evolution” .The different lifecycles of software and hardware platforms lead to interoperability problems in such systems. Instead of separating the development, adaptation and evolution of software and its platforms, as well as aspects like operation, monitoring and maintenance, they should all be integrated into one overarching process. Accordingly, the book is split into three major parts, the first of which includes an introduction to the nature of software evolution, followed by an overview of the specific challenges and a general introduction to the case studies used in the project. The second part of the book consists of the main chapters on knowledge carrying software, and cover tacit knowledge in software evolution, continuous design decision support, model-based round-trip engineering for software product lines, performance analysis strategies, maintaining security in software evolution, learning from evolution for evolution, and formal verification of evolutionary changes. In turn, the last part of the book presents key findings and spin-offs. The individual chapters there describe various case studies, along with their benefits, deliverables and the respective lessons learned. An overview of future research topics rounds out the coverage.
Machine Learning and Probabilistic Graphical Models for Decision Support Systems
Presents recent advancements in research, a review of new methods and techniques, and applications in decision support systems (DSS) with Machine Learning and Probabilistic Graphical Models, which are very effective techniques in gaining knowledge from Big Data and in interpreting decisions. It explores Bayesian network learning, Control Chart, Reinforcement Learning for multicriteria DSS, Anomaly Detection in Smart Manufacturing with Federated Learning, DSS in healthcare, DSS for supply chain management, etc. Researchers and practitioners alike will benefit from this book to enhance the understanding of machine learning, Probabilistic Graphical Models, and their uses in DSS in the context of decision making with uncertainty. The real-world case studies in various fields with guidance and recommendations for the practical applications of these studies are introduced in each chapter.
Machine learning and big data : Concepts, algorithms, tools and applications
Showcase novel use-cases and applications, present empirical research results from user-centered qualitative and quantitative experiments of these new applications, and facilitate a discussion forum to explore the latest trends in big data and machine learning by providing algorithms which can be trained to perform interdisciplinary techniques such as statistics, linear algebra, and optimization and also create automated systems that can sift through large volumes of data at high speed to make predictions or decisions without human intervention
Machine Ethics : From Machine Morals to the Machinery of Morality
Offers the first systematic guide to machine ethics, bridging between computer science, social sciences and philosophy. Based on a dialogue between an AI scientist and a novelist philosopher, the book discusses important findings on which moral values machines can be taught and how. In turn, it investigates what kind of artificial intelligence (AI) people do actually want.
Location, Transport and Land-Use : Modelling Spatial-Temporal Information
Shows the use of statistical tools for forecasting and analyzing implications of land-use decisions. The idea is that la- use on a map is necessarily a consequence of individual, and often conflicting, siting decisions over time.
Law and the Semantic Web : Legal Ontologies, Methodologies, Legal Information Retrieval, and Applications
As part of this objective, ICT (information and communication technologies) services should become available for every citizen, and for all schools, homes and businesses. The book you have in front of you is about Semantic Web technology and law. Law is something omnipresent; all citizens — at some points in their lives — have to deal with it. In addition, law involves a large group of professionals, and is a mul- billion business world wide. Information technology is important because it that can improve citizens’ interaction with law, as well as improve legal professionals’ work environment. Legal professionals dedicate a significant amount of their time to finding, reading, analyzing and synthesizing information in order to take decisions, and prepare advice and trials, among other tasks. As part of the “Semantic-Based Knowledge and Content Systems” Strategic Objective, the European Commission is funding projects to construct technology to make the Semantic Web vision come true. 1 The articles in this book are related to two current foci of the Strategic Objective : • Knowledge acquisition and modelling, capturing knowledge from raw information and multimedia content in webs and other distributed repositories to turn poorly structured information into machi- processable knowledge.
Knowledge Processing with Interval and Soft Computing
In particular, these chapters cover computing techniques for interval linear systems of equations, interval matrix singular-value decomposition, interval function approximation, and decision making with statistical and graph-based data processing. To enable these applications, the book presents a standards-based object-oriented interval computing environment in C++.
