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Cognitive Informatics for Biomedicine

Overview of attention for book
Cover of 'Cognitive Informatics for Biomedicine'

Table of Contents

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    Book Overview
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    Chapter 1 A Multi-disciplinary Science of Human Computer Interaction in Biomedical Informatics
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    Chapter 2 Cognition and Human Computer Interaction in Health and Biomedicine
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    Chapter 3 Theoretical Foundations for Health Communication Research and Practice
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    Chapter 4 A New Socio-technical Model for Studying Health Information Technology in Complex Adaptive Healthcare Systems
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    Chapter 5 Evaluation of Health Information Technology: Methods, Frameworks and Challenges
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    Chapter 6 Computational Ethnography: Automated and Unobtrusive Means for Collecting Data In Situ for Human–Computer Interaction Evaluation Studies
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    Chapter 7 User-Centered Design and Evaluation of Clinical Information Systems: A Usability Engineering Perspective
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    Chapter 8 Human Computer Interaction in Medical Devices
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    Chapter 9 Applying HCI Principles in Designing Usable Systems for Dentistry
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    Chapter 10 Design for Supporting Healthcare Teams
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    Chapter 11 The Unintended Consequences of the Technology in Clinical Settings
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    Chapter 12 The Role of Human Computer Interaction in Consumer Health Applications: Current State, Challenges and the Future
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    Chapter 13 Designing and Deploying Mobile Health Interventions
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    Chapter 14 Visual Analytics: Leveraging Cognitive Principles to Accelerate Biomedical Discoveries
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Title
Cognitive Informatics for Biomedicine
Published by
Springer International Publishing, January 2015
DOI 10.1007/978-3-319-17272-9
ISBNs
978-3-31-917271-2, 978-3-31-917272-9
Editors

Vimla L. Patel, Thomas G. Kannampallil, David R. Kaufman

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 2%
United States 1 2%
Canada 1 2%
Unknown 42 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 29%
Student > Master 9 20%
Researcher 5 11%
Student > Doctoral Student 3 7%
Other 3 7%
Other 8 18%
Unknown 4 9%
Readers by discipline Count As %
Computer Science 13 29%
Medicine and Dentistry 8 18%
Nursing and Health Professions 7 16%
Engineering 3 7%
Social Sciences 3 7%
Other 5 11%
Unknown 6 13%