Ontology-driven real world evidence extraction from clinical narratives

L. Chiudinelli; M. Gabetta; G. Centorrino; N. Viani; C. Tasca; A. Zambelli; M. Bucalo; A. Ghirardi; N. Barbarini; E. Sfreddo; C. Tondini; R. Bellazzi; L. Sacchi

doi:10.3233/SHTI190474

Ontology-driven real world evidence extraction from clinical narratives

L. Chiudinelli, M. Gabetta, G. Centorrino, N. Viani, C. Tasca, A. Zambelli, M. Bucalo, A. Ghirardi, N. Barbarini, E. Sfreddo, C. Tondini, R. Bellazzi, L. Sacchi

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

1 Citation (Scopus)

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.

Original language	English
Title of host publication	MEDINFO 2019
Subtitle of host publication	Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics
Editors	Brigitte Seroussi, Lucila Ohno-Machado, Lucila Ohno-Machado, Brigitte Seroussi
Publisher	IOS Press
Pages	1441-1442
Number of pages	2
ISBN (Electronic)	9781643680026
DOIs	https://doi.org/10.3233/SHTI190474
Publication status	Published - 21 Aug 2019
Event	17th World Congress on Medical and Health Informatics, MEDINFO 2019 - Lyon, France Duration: 25 Aug 2019 → 30 Aug 2019

Publication series

Name	Studies in Health Technology and Informatics
Volume	264
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

Conference

Conference	17th World Congress on Medical and Health Informatics, MEDINFO 2019
Country/Territory	France
City	Lyon
Period	25/08/2019 → 30/08/2019

Keywords

Biomedical Ontologies
Data Warehousing
Natural Language Processing

Access to Document

10.3233/SHTI190474

Cite this

Chiudinelli, L., Gabetta, M., Centorrino, G., Viani, N., Tasca, C., Zambelli, A., Bucalo, M., Ghirardi, A., Barbarini, N., Sfreddo, E., Tondini, C., Bellazzi, R., & Sacchi, L. (2019). Ontology-driven real world evidence extraction from clinical narratives. In B. Seroussi, L. Ohno-Machado, L. Ohno-Machado, & B. Seroussi (Eds.), MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics (pp. 1441-1442). (Studies in Health Technology and Informatics; Vol. 264). IOS Press. https://doi.org/10.3233/SHTI190474

Chiudinelli, L. ; Gabetta, M. ; Centorrino, G. et al. / Ontology-driven real world evidence extraction from clinical narratives. MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. editor / Brigitte Seroussi ; Lucila Ohno-Machado ; Lucila Ohno-Machado ; Brigitte Seroussi. IOS Press, 2019. pp. 1441-1442 (Studies in Health Technology and Informatics).

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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 & Sacchi, L 2019, Ontology-driven real world evidence extraction from clinical narratives. in B Seroussi, L Ohno-Machado, L Ohno-Machado & B Seroussi (eds), MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. Studies in Health Technology and Informatics, vol. 264, IOS Press, pp. 1441-1442, 17th World Congress on Medical and Health Informatics, MEDINFO 2019, Lyon, France, 25/08/2019. https://doi.org/10.3233/SHTI190474

Ontology-driven real world evidence extraction from clinical narratives. / Chiudinelli, L.; Gabetta, M.; Centorrino, G. et al.
MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. ed. / Brigitte Seroussi; Lucila Ohno-Machado; Lucila Ohno-Machado; Brigitte Seroussi. IOS Press, 2019. p. 1441-1442 (Studies in Health Technology and Informatics; Vol. 264).

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

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AU - Bucalo, M.

AU - Ghirardi, A.

AU - Barbarini, N.

AU - Sfreddo, E.

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Chiudinelli L, Gabetta M, Centorrino G, Viani N, Tasca C, Zambelli A et al. Ontology-driven real world evidence extraction from clinical narratives. In Seroussi B, Ohno-Machado L, Ohno-Machado L, Seroussi B, editors, MEDINFO 2019: Health and Wellbeing e-Networks for All - Proceedings of the 17th World Congress on Medical and Health Informatics. IOS Press. 2019. p. 1441-1442. (Studies in Health Technology and Informatics). doi: 10.3233/SHTI190474

Ontology-driven real world evidence extraction from clinical narratives

Abstract

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Conference

Keywords

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