Foundations of Biomedical Knowledge Representation : Methods and Applications
Language: English
Published by Springer International Publishing, 2016
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
US$ 64.06
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Add to basketItem description from seller
Druck auf Anfrage Neuware - Printed after ordering - Medicineand health care are currently faced with a significant rise in theircomplexity. This is partly due to the progress made during the past threedecades in the fundamental biological understanding of the causes of health anddisease at the molecular, (sub)cellular, and organ level. Since the end of the1970s, when knowledge representation and reasoning in the biomedical fieldbecame a separate area of research, huge progress has been made in thedevelopment of methods and tools that are finally able to impact on the waymedicine is being practiced.Eventhough there are huge differences in the techniques and methods used bybiomedical researchers, there is now an increasing tendency to share researchresults in terms of formal knowledge representation methods, such asontologies, statistical models, network models, and mathematical models. Asthere 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 differentparts of the spectrum of biomedical and clinical research.Theaim of this book is to shed light on developments in knowledge representationat different levels of biomedical application, ranging from human biology toclinical guidelines, and using different techniques, from probability theoryand differential equations to logic. The book starts with two introductorychapters followed by 18 contributions organized in the following topicalsections: diagnosis of disease; monitoring of health and disease andconformance; assessment of health and personalization; prediction and prognosisof health and disease; treatment of disease; and recommendations.…
Seller Inventory # 9783319280066
- Title
- Foundations of Biomedical Knowledge Representation : Methods and Applications
- Author
- Peter J. F. Lucas
- Publisher
- Springer International Publishing
- Publication year
- 2016
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 3319280066
- ISBN 13
- 9783319280066
- Item weight
- 534 grams
- Dimensions
- 235x155x20 mm
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
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