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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
Overall attention for this book and its chapters
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Mentioned by

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9 tweeters

Citations

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3 Dimensions

Readers on

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75 Mendeley
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Title
Process Support and Knowledge Representation in Health Care
Published by
Springer, February 2013
DOI 10.1007/978-3-642-36438-9
ISBNs
978-3-64-236438-9, 978-3-64-236437-2
Editors

Lenz, Richard, Miksch, Silvia, Peleg, Mor, Reichert, Manfred, Riano, David, ten Teije, Annette

Twitter Demographics

The data shown below were collected from the profiles of 9 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 2 3%
Austria 1 1%
Indonesia 1 1%
Iran, Islamic Republic of 1 1%
Spain 1 1%
Unknown 69 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 29%
Student > Master 22 29%
Student > Bachelor 7 9%
Student > Postgraduate 5 7%
Student > Doctoral Student 3 4%
Other 11 15%
Unknown 5 7%
Readers by discipline Count As %
Computer Science 34 45%
Engineering 12 16%
Business, Management and Accounting 10 13%
Economics, Econometrics and Finance 2 3%
Biochemistry, Genetics and Molecular Biology 2 3%
Other 4 5%
Unknown 11 15%