Overview
- State-of-the-art research
- Written by experts
- Provides an overview of the developments in knowledge representation
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9521)
Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)
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Table of contents (20 chapters)
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Front Matter
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Diagnosis of Disease
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Front Matter
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Monitoring of Health and Disease and Conformance
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Front Matter
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Assessment of Health and Personalisation
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Front Matter
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Prediction and Prognosis of Health and Disease
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Front Matter
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Keywords
- automated reasoning
- consistency-based reasoning
- expert systems
- knowledge engineering
- knowledge-based systems
- abduction
- bayesian belief networks
- clinical guidelines
- conformance
- deduction
- event calculus
- horn clauses
- inference engine
- influence diagrams
- inheritance
- knowledge management
- knowledge system
- problem solving
- rules
- sport and influenza
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Foundations of Biomedical Knowledge Representation
Book Subtitle: Methods and Applications
Editors: Arjen Hommersom, Peter J.F. Lucas
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-28007-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Softcover ISBN: 978-3-319-28006-6Published: 03 February 2016
eBook ISBN: 978-3-319-28007-3Published: 07 January 2016
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XII, 339
Number of Illustrations: 92 illustrations in colour
Topics: Artificial Intelligence, Health Informatics, Data Mining and Knowledge Discovery, Information Systems Applications (incl. Internet), Information Storage and Retrieval, Mathematical Logic and Formal Languages