Knowledge Representation for Health-Care. Data, Processes and Guidelines
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.
| Erscheint lt. Verlag | 23.2.2010 |
|---|---|
| Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
| Zusatzinfo | 195 p. 60 illus. |
| Verlagsort | Berlin |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 320 g |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Schlagworte | Data Mining • Digital Libraries • Health Care • information systems • Interoperability • Knowledge Acquisition • knowledge management • machine learning • Natural Language Processing • Ontologie |
| ISBN-13 | 9783642118074 / 9783642118074 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich