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Knowledge Representation for Health-Care. Data, Processes and Guidelines AIME 2009 Workshop KR4HC 2009, Verona, Italy, July 19, 2009, Revised Selected Papers / edited by David Riano, Annette ten Teije, Silvia Miksch, Mor Peleg.
Saved in:
Bibliographic Details
Corporate Author:
SpringerLink (Online service)
Other Authors:
Riano, David
(Editor)
,
ten Teije, Annette
(Editor)
,
Miksch, Silvia
(Editor)
,
Peleg, Mor
(Editor)
Format:
eBook
Language:
English
Published:
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2010.
Edition:
1st ed. 2010.
Series:
Lecture Notes in Artificial Intelligence ;
5943
Springer eBook Collection.
Subjects:
Data mining.
Information storage and retrieval.
Application software.
Database management.
Management information systems.
Computer science.
Electronic resources (E-books)
Online Access:
Click to view e-book
Holy Cross Note:
Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
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Description
Table of Contents
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Table of Contents:
From Patient Data to Medical Ontologies
Creating Topic Hierarchies for Large Medical Libraries
Bridging an Asbru Protocol to an Existing Electronic Patient Record
From Natural Language Descriptions in Clinical Guidelines to Relationships in an Ontology
A Hybrid Methodology for Consumer-Oriented Healthcare Knowledge Acquisition
Identifying Disease-Centric Subdomains in Very Large Medical Ontologies: A Case-Study on Breast Cancer Concepts in SNOMED CT. Or: Finding 2500 Out of 300.000
Sharable Appropriateness Criteria in GLIF3 Using Standards and the Knowledge-Data Ontology Mapper
Guideline Modeling and Tools
Analysis of the GLARE and GPROVE Approaches to Clinical Guidelines
Semantic Web-Based Modeling of Clinical Pathways Using the UML Activity Diagrams and OWL-S
Extracting Qualitative Knowledge from Medical Guidelines for Clinical Decision-Support Systems
Experiences in the Development of Electronic Care Plans for the Management of Comorbidities
Challenges in Delivering Decision Support Systems: The MATE Experience
Technical Solutions for Integrating Clinical Practice Guidelines with Electronic Patient Records
Advanced Topics
Towards a Possibility-Theoretic Approach to Uncertainty in Medical Data Interpretation for Text Generation
Argumentation about Treatment Efficacy
A Knowledge-Management Architecture to Integrate and to Share Medical and Clinical Data, Information, and Knowledge.
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