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Process Support and Knowledge Representation in Health Care

Overview of attention for book
Cover of 'Process Support and Knowledge Representation in Health Care'

Table of Contents

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    Book Overview
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    Chapter 1 The Elicitation, Representation, Application, and Automated Discovery of Time-Oriented Declarative Clinical Knowledge
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    Chapter 2 Rule-Based Combination of Comorbid Treatments for Chronic Diseases Applied to Hypertension, Diabetes Mellitus and Heart Failure
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    Chapter 3 Knowledge-Driven Adaptive Execution of Care Pathways Based on Continuous Planning Techniques
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    Chapter 4 Towards a Realistic Clinical-Guidelines Application Framework: Desiderata, Applications, and Lessons Learned
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    Chapter 5 Data Integration for Clinical Decision Support Based on openEHR Archetypes and HL7 Virtual Medical Record
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    Chapter 6 Semantic Integration of Patient Data and Quality Indicators Based on openEHR Archetypes
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    Chapter 7 A Study of Semantic Proximity between Archetype Terms Based on SNOMED CT Relationships
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    Chapter 8 Distributed Ad Hoc Cooperation in Healthcare
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    Chapter 9 Embedding Conformance Checking in a Process Intelligence System in Hospital Environments
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    Chapter 10 Process Mining in Healthcare: Data Challenges When Answering Frequently Posed Questions
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    Chapter 11 Flexible and Efficient Retrieval of Haemodialysis Time Series
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    Chapter 12 An Approach for Representing and Managing Medical Exceptions in Care Pathways Based on Temporal Hierarchical Planning Techniques
Attention for Chapter 8: Distributed Ad Hoc Cooperation in Healthcare
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Chapter title
Distributed Ad Hoc Cooperation in Healthcare
Chapter number 8
Book title
Process Support and Knowledge Representation in Health Care
Published by
Springer, Berlin, Heidelberg, January 2013
DOI 10.1007/978-3-642-36438-9_8
Book ISBNs
978-3-64-236437-2, 978-3-64-236438-9

Christoph P. Neumann, Richard Lenz

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 40%
Professor > Associate Professor 1 20%
Unspecified 1 20%
Other 1 20%
Student > Doctoral Student 1 20%
Other 0 0%
Readers by discipline Count As %
Computer Science 5 100%
Unspecified 1 20%