Name
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. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.3233/SHTI190474 | Studies in Health Technology and Informatics |
Keywords | Field | DocType |
Natural Language Processing,Biomedical Ontologies,Data Warehousing | Ontology,World Wide Web,Sociology,Narrative | Conference |
Volume | ISSN | Citations |
264 | 0926-9630 | 0 |
PageRank | References | Authors |
0.34 | 0 | 13 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lorenzo Chiudinelli | 1 | 0 | 1.01 |
| Matteo Gabetta | 2 | 12 | 3.39 |
| G. Centorrino | 3 | 0 | 0.34 |
| Natalia Viani | 4 | 0 | 0.34 |
| Cristina Tasca | 5 | 0 | 0.68 |
| Alberto Zambelli | 6 | 26 | 2.85 |
| Mauro Bucalo | 7 | 0 | 0.34 |
| Arianna Ghirardi | 8 | 0 | 0.68 |
| Nicola Barbarini | 9 | 69 | 5.71 |
| Eleonora Sfreddo | 10 | 0 | 0.68 |
| Carlo Tondini | 11 | 0 | 0.68 |
| Riccardo Bellazzi | 12 | 1313 | 141.89 |
| Lucia Sacchi | 13 | 269 | 32.52 |