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Process Support and Knowledge Representation in Health Care

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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 3: Knowledge-Driven Adaptive Execution of Care Pathways Based on Continuous Planning Techniques
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Citations

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19 Mendeley
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Chapter title
Knowledge-Driven Adaptive Execution of Care Pathways Based on Continuous Planning Techniques
Chapter number 3
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_3
Book ISBNs
978-3-64-236437-2, 978-3-64-236438-9
Authors

Gonzalo Milla-Millán, Juan Fdez-Olivares, Inmaculada Sánchez-Garzón, David Prior, Luis Castillo

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 5%
Unknown 18 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 32%
Researcher 5 26%
Lecturer > Senior Lecturer 2 11%
Student > Doctoral Student 2 11%
Student > Master 1 5%
Other 2 11%
Unknown 1 5%
Readers by discipline Count As %
Computer Science 12 63%
Engineering 2 11%
Business, Management and Accounting 1 5%
Medicine and Dentistry 1 5%
Biochemistry, Genetics and Molecular Biology 1 5%
Other 0 0%
Unknown 2 11%