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Clinical Research Informatics

Overview of attention for book
Cover of 'Clinical Research Informatics'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Clinical Research Informatics
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    Chapter 2 From Notations to Data: The Digital Transformation of Clinical Research
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    Chapter 3 The Clinical Research Environment
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    Chapter 4 Methodological Foundations of Clinical Research
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    Chapter 5 Informatics Approaches to Participant Recruitment
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    Chapter 6 The Evolving Role of Consumers
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    Chapter 7 Clinical Research in the Postgenomic Era
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    Chapter 8 Clinical Research Information Systems
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    Chapter 9 Study Protocol Representation
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    Chapter 10 Data Quality in Clinical Research
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    Chapter 11 Patient-Reported Outcome Data
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    Chapter 12 Biobanking Challenges and Informatics Opportunities
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    Chapter 13 Patient Registries *
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    Chapter 14 Knowledge Representation and Ontologies
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    Chapter 15 Nonhypothesis-Driven Research: Data Mining and Knowledge Discovery
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    Chapter 16 Natural Language Processing, Electronic Health Records, and Clinical Research
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    Chapter 17 Data Sharing: Electronic Health Records and Research Interoperability
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    Chapter 18 Standards Development and the Future of Research Data Sources, Interoperability, and Exchange
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    Chapter 19 Pharmacovigilance
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    Chapter 20 Clinical Trials Registries and Results Databases
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    Chapter 21 Future Directions in Clinical Research Informatics
Attention for Chapter 14: Knowledge Representation and Ontologies
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Citations

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Chapter title
Knowledge Representation and Ontologies
Chapter number 14
Book title
Clinical Research Informatics
Published by
Springer, London, January 2012
DOI 10.1007/978-1-84882-448-5_14
Book ISBNs
978-1-84882-447-8, 978-1-84882-448-5
Authors

Kin Wah Fung, Olivier Bodenreider, Fung, Kin Wah, Bodenreider, Olivier

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 4%
Denmark 1 4%
Unknown 21 91%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 30%
Student > Ph. D. Student 7 30%
Researcher 3 13%
Professor > Associate Professor 2 9%
Professor 1 4%
Other 0 0%
Unknown 3 13%
Readers by discipline Count As %
Computer Science 12 52%
Medicine and Dentistry 3 13%
Business, Management and Accounting 2 9%
Arts and Humanities 1 4%
Social Sciences 1 4%
Other 1 4%
Unknown 3 13%