1. Ontology-Driven Real World Evidence Extraction from Clinical Narratives.
- Author
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Chiudinelli, L., Gabetta, M., Centorrino, G., Viani, N., Tasca, C., Zambelli, A., Bucalo, M., Ghirardi, A., Barbarini, N., Sfreddo, E., Tondini, C., Bellazzi, R., and Sacchi, L.
- Subjects
MEDICAL informatics ,DATA extraction ,DATA warehousing ,INFORMATION retrieval ,NATURAL language processing - Abstract
Unstructured clinical notes contain a huge amount of information. We investigated the possibility of harvesting such information through an NLP-based approach. A manually curated ontology is the only resource required to handle all the steps of the process leading from clinical narrative to a structured data warehouse (i2b2). We have tested our approach at the Papa Giovanni XXIII hospital in Bergamo (Italy) on pathology reports collected since 2008. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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