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Foundations of Biomedical Knowledge Representation - Methods and Applications (Paperback, 1st ed. 2015)
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Foundations of Biomedical Knowledge Representation - Methods and Applications (Paperback, 1st ed. 2015)
Series: Lecture Notes in Artificial Intelligence, 9521
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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.
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