Vom 20.12.2025 bis 11.01.2026 ist die Universitätsbibliothek geschlossen. Ab dem 12.01.2026 gelten wieder die regulären Öffnungszeiten. Ausnahme: Medizinische Hauptbibliothek und Zentralbibliothek sind bereits ab 05.01.2026 wieder geöffnet. Weitere Informationen

Treffer: Launching into clinical space with medspaCy: a new clinical text processing toolkit in Python.

Title:
Launching into clinical space with medspaCy: a new clinical text processing toolkit in Python.
Authors:
Eyre H; VA Salt Lake City Health Care System.; University of Utah, Salt Lake City, UT, USA., Chapman AB; VA Salt Lake City Health Care System.; University of Utah, Salt Lake City, UT, USA., Peterson KS; University of Utah, Salt Lake City, UT, USA.; Veterans Health Administration Office of Analytics and Performance Integration., Shi J; University of Utah, Salt Lake City, UT, USA., Alba PR; VA Salt Lake City Health Care System.; University of Utah, Salt Lake City, UT, USA., Jones MM; VA Salt Lake City Health Care System.; University of Utah, Salt Lake City, UT, USA., Box TL; Veterans Health Administration Office of Analytics and Performance Integration., DuVall SL; VA Salt Lake City Health Care System.; University of Utah, Salt Lake City, UT, USA., Patterson OV; VA Salt Lake City Health Care System.; University of Utah, Salt Lake City, UT, USA.
Source:
AMIA ... Annual Symposium proceedings. AMIA Symposium [AMIA Annu Symp Proc] 2022 Feb 21; Vol. 2021, pp. 438-447. Date of Electronic Publication: 2022 Feb 21 (Print Publication: 2021).
Publication Type:
Journal Article; Research Support, U.S. Gov't, Non-P.H.S.
Language:
English
Journal Info:
Publisher: American Medical Informatics Association Country of Publication: United States NLM ID: 101209213 Publication Model: eCollection Cited Medium: Internet ISSN: 1942-597X (Electronic) Linking ISSN: 15594076 NLM ISO Abbreviation: AMIA Annu Symp Proc Subsets: MEDLINE
Imprint Name(s):
Original Publication: Bethesda, MD : American Medical Informatics Association, c2003-
References:
J Am Med Inform Assoc. 2018 Mar 1;25(3):331-336. (PMID: 29186491)
J Am Med Inform Assoc. 2013 Sep-Oct;20(5):806-13. (PMID: 23564629)
J Am Med Inform Assoc. 2021 Mar 1;28(3):504-515. (PMID: 33319904)
Arch Pathol Lab Med. 2008 Oct;132(10):1608-16. (PMID: 18834219)
Nucleic Acids Res. 2004 Jan 1;32(Database issue):D267-70. (PMID: 14681409)
J Biomed Inform. 2020 Sep;109:103526. (PMID: 32768446)
JMIR Med Inform. 2019 Apr 27;7(2):e12239. (PMID: 31066697)
JAMA Netw Open. 2021 Feb 1;4(2):e2037047. (PMID: 33566108)
Drug Saf. 2019 Jan;42(1):147-156. (PMID: 30649737)
Sci Data. 2016 May 24;3:160035. (PMID: 27219127)
BMC Med Inform Decis Mak. 2006 Jul 26;6:30. (PMID: 16872495)
J Biomed Semantics. 2019 Apr 11;10(1):6. (PMID: 30975223)
J Am Med Inform Assoc. 2016 Sep;23(5):1007-15. (PMID: 26911811)
J Biomed Inform. 2009 Oct;42(5):839-51. (PMID: 19435614)
AMIA Annu Symp Proc. 2008 Nov 06;:156-60. (PMID: 18999303)
Proc AMIA Symp. 2001;:17-21. (PMID: 11825149)
Acad Emerg Med. 2004 Nov;11(11):1170-6. (PMID: 15528581)
J Biomed Inform. 2011 Oct;44(5):728-37. (PMID: 21459155)
J Am Med Inform Assoc. 2017 Jul 1;24(4):841-844. (PMID: 28130331)
J Am Med Inform Assoc. 2020 Jan 1;27(1):3-12. (PMID: 31584655)
J Am Med Inform Assoc. 2010 Sep-Oct;17(5):507-13. (PMID: 20819853)
AMIA Annu Symp Proc. 2006;:364-8. (PMID: 17238364)
AMIA Annu Symp Proc. 2014 Nov 14;2014:589-98. (PMID: 25954364)
Entry Date(s):
Date Created: 20220321 Date Completed: 20220411 Latest Revision: 20220411
Update Code:
20250114
PubMed Central ID:
PMC8861690
PMID:
35308962
Database:
MEDLINE

Weitere Informationen

Despite impressive success of machine learning algorithms in clinical natural language processing (cNLP), rule-based approaches still have a prominent role. In this paper, we introduce medspaCy, an extensible, open-source cNLP library based on spaCy framework that allows flexible integration of rule-based and machine learning-based algorithms adapted to clinical text. MedspaCy includes a variety of components that meet common cNLP needs such as context analysis and mapping to standard terminologies. By utilizing spaCy's clear and easy-to-use conventions, medspaCy enables development of custom pipelines that integrate easily with other spaCy-based modules. Our toolkit includes several core components and facilitates rapid development of pipelines for clinical text.
(©2021 AMIA - All rights reserved.)