Free PDF BookFoundations of Biomedical Knowledge Representation Methods and Applications (Lecture Notes in Computer Science)

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Medicine and health care are currently faced with a significant rise in their complexity. This is partly due to the progress made during the past three decades in the fundamental biological understanding of the causes of health and disease at the molecular, (sub)cellular, and organ level. Since the end of the 1970s, when knowledge representation and reasoning in the biomedical field became a separate area of research, huge progress has been made in the development of methods and tools that are finally able to impact on the way medicine is being practiced. Even though there are huge differences in the techniques and methods used by biomedical researchers, there is now an increasing tendency to share research results in terms of formal knowledge representation methods, such as ontologies, statistical models, network models, and mathematical models. As there is an urgent need for health-care professionals to make better decisions, computer-based support using this knowledge is now becoming increasingly important. It may also be the only way to integrate research results from the different parts of the spectrum of biomedical and clinical research.  The aim of this book is to shed light on developments in knowledge representation at different levels of biomedical application, ranging from human biology to clinical guidelines, and using different techniques, from probability theory and differential equations to logic. The book starts with two introductory chapters followed by 18 contributions organized in the following topical sections: diagnosis of disease; monitoring of health and disease and conformance; assessment of health and personalization; prediction and prognosis of health and disease; treatment of disease; and recommendations.  OpenClinical: Ontologies Ontologies. An ontology can be viewed as a model of a domain that defines the concepts existing in that domain their attributes and the relationships between them and is typically represented as a knowledge base Machine Learning Machine Learning is an international forum for research on computational approaches to learning. The journal publishes articles reporting substantive results on a wide range of learning methods applied to a variety ... Research Funding Opportunities - Montana State University Submission due: Mar. 10 2017. The Montana State University Outreach and Engagement Council invites proposals for fiscal year 2018 seed grant funds. Funding for this program is provided by the MSU Office of the ... Artificial intelligence - Wikipedia Artificial intelligence (AI) is intelligence exhibited by machines. In computer science the field of AI research defines itself as the study of "intelligent agents": any device that perceives its environment and ... Course Descriptions Reynolds Community College AMERICAN SIGN LANGUAGE [back to top] ASL 100 Orientation to Acquisition of ASL as an Adult 2 cr. Presents a brief introduction to the U.S. Deaf Community focusing on the differences in language and literature. Data Mining and Knowledge Discovery - springer.com The premier technical publication in the field Data Mining and Knowledge Discovery is a resource collecting relevant common methods and techniques and a forum for unifying the diverse constituent research ... Institute for Computational and Mathematical Engineering Stanford ... Courses offered by the Institute for Computational and Mathematical Engineering are listed under the subject code CME on the Stanford Bulletin's ExploreCourses web site. ICME is a degree granting (M.S./Ph.D ... Ontology (information science) - Wikipedia In computer science and information science an ontology is a formal naming and definition of the types properties and interrelationships of the entities that really or fundamentally exist for a particular domain ... Management Science and Engineering Stanford University Coterminal Program in Management Science and Engineering. This program allows Stanford undergraduates an opportunity to work simultaneously toward a B.S. in Management Science and Engineering or another quantitative ... Life Sciences MIT OpenCourseWare Free Online Course Materials Life Sciences Courses. Today Life Sciences topics and tools are present in almost all disciplines of science and technology. MIT is the leader in interdisciplinary Life Sciences research and education and multiple ...
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