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In the development of a spanish metamap

Authors:

Francisco M. Carrero,

José Carlos Cortizo,

José María Gómez,

Manuel de BuenagaAuthors Info & Claims

CIKM '08: Proceedings of the 17th ACM conference on Information and knowledge management

Pages 1465 - 1466

https://doi.org/10.1145/1458082.1458335

Published: 26 October 2008 Publication History

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Abstract

MetaMap is an online application that allows mapping text to UMLS Metathesaurus concepts, which is very useful interoperability among different languages and systems within the biomedical domain. MetaMap Transfer (MMTx) is a Java program that makes MetaMap available to biomedical researchers. Currently there is no Spanish version of MetaMap, which difficults the use of UMLS Metathesaurus to extract concepts from Spanish biomedical texts.

Our ongoing research is mainly focused on using biomedical concepts for cross-lingual text classification and retrieval [3]. In this context the use of concepts instead of bag of words representation allows us to face text classification tasks abstracting from the language [4]. In this paper we evaluate the possibility of combining automatic translation techniques with the use of biomedical ontologies to produce an English text that can be processed by MMTx.

References

[1]

Aronson, AR., 2001, Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program. Proceedings of the American Medical Informatics Association Symposium, 2001, pp. 17--21.

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[2]

Bodenreider O, 2004, The Unified Medical Language System (UMLS): integrating biomedical terminology. Nucleic Acids Research 2004, 32:D267--D270

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[3]

Carrero García, F., Gómez Hidalgo, J. M., Puertas Sanz, E., Maña López, M., Mata, J., 2007, Attribute Analysis in Biomedical Text Classification. Second BioCreAtIvE Challenge Workshop: Critical Assessment of Information Extraction in Molecular Biology, 2007.

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[4]

Gómez Hidalgo, J. M., Cortizo Pérez, J. C., Puertas Sanz, E., Ruíz Leyva, M. Concept Indexing for Automated Text Categorization. In NLDB 2004, Lecture Notes in Computer Science, Vol. 3136, Springer, pp. 195--206, 2004.

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Cited By

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Jing X(2020)UMLS at 30 years: How it is used and published (Preprint)JMIR Medical Informatics10.2196/20675Online publication date: 25-May-2020
https://doi.org/10.2196/20675
Casillas AGojenola KPerez AOronoz M(2016)Clinical text mining for efficient extraction of drug-allergy reactions2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)10.1109/BIBM.2016.7822651(946-952)Online publication date: Dec-2016
https://doi.org/10.1109/BIBM.2016.7822651
Chiaramello EPinciroli FBonalumi ACaroli ATognola G(2016)Use of off-the-shelf information extraction algorithms in clinical informaticsJournal of Biomedical Informatics10.1016/j.jbi.2016.07.01763:C(22-32)Online publication date: 1-Oct-2016
https://dl.acm.org/doi/10.1016/j.jbi.2016.07.017

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In the development of a spanish metamap

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Published In

CIKM '08: Proceedings of the 17th ACM conference on Information and knowledge management

October 2008

1562 pages

ISBN:9781595939913

DOI:10.1145/1458082

General Chair:
James G. Shanahan
Church and Duncan Group Inc, USA
,
Program Chairs:
Sihem Amer-Yahia
Yahoo! Research, USA
,
Ioana Manolescu
INRIA, France
,
Yi Zhang
University of California, Santa Cruz, USA
,
David A. Evans
JustSystems Evans Research, USA
,
Alek Kolcz
Microsoft Live Labs, USA
,
Key-Sun Choi
KAIST, Korea
,
Abdur Chowdury
Twitter, USA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 26 October 2008

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Jing X(2020)UMLS at 30 years: How it is used and published (Preprint)JMIR Medical Informatics10.2196/20675Online publication date: 25-May-2020
https://doi.org/10.2196/20675
Casillas AGojenola KPerez AOronoz M(2016)Clinical text mining for efficient extraction of drug-allergy reactions2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)10.1109/BIBM.2016.7822651(946-952)Online publication date: Dec-2016
https://doi.org/10.1109/BIBM.2016.7822651
Chiaramello EPinciroli FBonalumi ACaroli ATognola G(2016)Use of off-the-shelf information extraction algorithms in clinical informaticsJournal of Biomedical Informatics10.1016/j.jbi.2016.07.01763:C(22-32)Online publication date: 1-Oct-2016
https://dl.acm.org/doi/10.1016/j.jbi.2016.07.017

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Building a Spanish MMTx by Using Automatic Translation and Biomedical Ontologies

Supervised and knowledge-based methods for disambiguating terms in biomedical text using the umls and metamap

Automatic Extraction of Nested Entities in Clinical Referrals in Spanish

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