Knowledge Representation for Health-Care. Data, Processes and Guidelines AIME 2009 Workshop KR4HC 2009, Verona, Italy, July 19, 2009, Revised Selected and Invited Papers /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Riaño, David (Επιμελητής έκδοσης), Teije, Annette ten (Επιμελητής έκδοσης), Miksch, Silvia (Επιμελητής έκδοσης), Peleg, Mor (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
• Σειρά: Lecture Notes in Computer Science, 5943
• Θέματα: Computer science.; Database management.; Data mining.; Information storage and retrieval.; Application software.; Management information systems.; Computer Science.; Data Mining and Knowledge Discovery.; Information Storage and Retrieval.; Computer Applications.; Database Management.; Information Systems Applications (incl. Internet).; Management of Computing and Information Systems.

Πίνακας περιεχομένων:

• 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.