Summary of the paper
| Title | Rule-based Entity Recognition and Coverage of SNOMED CT in Swedish Clinical Text |
|---|---|
| Authors | Maria Skeppstedt, Maria Kvist and Hercules Dalianis |
| Abstract | Named entity recognition of the clinical entities disorders, findings and body structures is needed for information extraction from unstructured text in health records. Clinical notes from a Swedish emergency unit were annotated and used for evaluating a rule- and terminology-based entity recognition system. This system used different preprocessing techniques for matching terms to SNOMED CT, and, one by one, four other terminologies were added. For the class body structure, the results improved with preprocessing, whereas only small improvements were shown for the classes disorder and finding. The best average results were achieved when all terminologies were used together. The entity body structure was recognised with a precision of 0.74 and a recall of 0.80, whereas lower results were achieved for disorder (precision: 0.75, recall: 0.55) and for finding (precision: 0.57, recall: 0.30). The proportion of entities containing abbreviations were higher for false negatives than for correctly recognised entities, and no entities containing more than two tokens were recognised by the system. Low recall for disorders and findings shows both that additional methods are needed for entity recognition and that there are many expressions in clinical text that are not included in SNOMED CT. |
| Topics | Corpus (creation, annotation, etc.), Named Entity recognition, Ontologies |
Full paper  |
Rule-based Entity Recognition and Coverage of SNOMED CT in Swedish Clinical Text |
| Bibtex | @InProceedings{SKEPPSTEDT12.521, author = {Maria Skeppstedt and Maria Kvist and Hercules Dalianis}, title = {Rule-based Entity Recognition and Coverage of SNOMED CT in Swedish Clinical Text}, booktitle = {Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12)}, year = {2012}, month = {may}, date = {23-25}, address = {Istanbul, Turkey}, editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Mehmet Uğur Doğan and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis}, publisher = {European Language Resources Association (ELRA)}, isbn = {978-2-9517408-7-7}, language = {english} } |