Ontology-Driven Real World Evidence Extraction from Clinical Narratives.
Biomedical Ontologies
Data Warehousing
Natural Language Processing
Journal
Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582
Informations de publication
Date de publication:
21 Aug 2019
21 Aug 2019
Historique:
entrez:
24
8
2019
pubmed:
24
8
2019
medline:
4
9
2019
Statut:
ppublish
Résumé
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.
Identifiants
pubmed: 31438171
pii: SHTI190474
doi: 10.3233/SHTI190474
doi:
Types de publication
Journal Article
Langues
eng