Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
Hahn, U; Romacker, M; Schulz, S.
MEDSYNDIKATE - Design considerations for an ontology-based medical text understanding system
J AMER MED INFORM ASSOC. 2000; 330-334.
[OPEN ACCESS]
Web of Science
PubMed
FullText
- Co-Autor*innen der Med Uni Graz
- Schulz Stefan
- Altmetrics:
- Dimensions Citations:
- Plum Analytics:
- Abstract:
- MedSynDiKATe is a natural language processor for automatically acquiring knowledge from medical finding reports. The content of these documents is transferred to formal representation structures which constitute a corresponding text knowledge base. The general system architecture we present integrates requirements from the analysis of single sentences, as well as those of referentially linked sentences forming cohesive texts. The strong demands MedSynDiKATe poses to the availability of expressive knowledge sources are accounted for by two alternative approaches to (semi)automatic ontology engineering.
- Find related publications in this database (using NLM MeSH Indexing)
- Evaluation Studies as Topic -
- Medical Records -
- Natural Language Processing -
- Software -
- Unified Medical Language System -