Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Graciela Rosemblat"'
Publikováno v:
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-28 (2020)
Abstract Background In the era of information overload, natural language processing (NLP) techniques are increasingly needed to support advanced biomedical information management and discovery applications. In this paper, we present an in-depth descr
Externí odkaz:
https://doaj.org/article/148575e4822d411d84d9a7ce1468458c
Publikováno v:
PLoS ONE, Vol 12, Iss 7, p e0179926 (2017)
Biomedical knowledge claims are often expressed as hypotheses, speculations, or opinions, rather than explicit facts (propositions). Much biomedical text mining has focused on extracting propositions from biomedical literature. One such system is Sem
Externí odkaz:
https://doaj.org/article/26c9125a7e984671b00158103246e0b0
Publikováno v:
BMC Bioinformatics, Vol 21, Iss 1, Pp 1-28 (2020)
BMC Bioinformatics
BMC Bioinformatics
Background In the era of information overload, natural language processing (NLP) techniques are increasingly needed to support advanced biomedical information management and discovery applications. In this paper, we present an in-depth description of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9dbe4e4c7f1a1b766e40e9ff3e23f91e
http://link.springer.com/article/10.1186/s12859-020-3517-7
http://link.springer.com/article/10.1186/s12859-020-3517-7
Autor:
Linh Hoang, Zeshan Peng, Mario Malički, Halil Kilicoglu, Jodi Schneider, Graciela Rosemblat, Sahil Wadhwa, Gerben ter Riet
Publikováno v:
Journal of biomedical informatics, 116:103717. Academic Press Inc.
Journal of Biomedical Informatics, 116:103717. Academic Press Inc.
J Biomed Inform
Journal of Biomedical Informatics, 116:103717. Academic Press Inc.
J Biomed Inform
ObjectiveTo annotate a corpus of randomized controlled trial (RCT) publications with the checklist items of CONSORT reporting guidelines and using the corpus to develop text mining methods for RCT appraisal.MethodsWe annotated a corpus of 50 RCT arti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fcc8d77a540b2967dc0f04b156beb5f2
https://doi.org/10.1016/j.jbi.2021.103717
https://doi.org/10.1016/j.jbi.2021.103717
Publikováno v:
Journal of the American Medical Informatics Association, 25(7), 855-861. Oxford University Press
Journal of the American Medical Informatics Association : JAMIA, 25(7), 855-861. Oxford University Press
Journal of the American Medical Informatics Association : JAMIA, 25(7), 855-861. Oxford University Press
Objective To automatically recognize self-acknowledged limitations in clinical research publications to support efforts in improving research transparency. Methods To develop our recognition methods, we used a set of 8431 sentences from 1197 PubMed C
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d38532abefbb4de2cc761b219b92e4db
https://doi.org/10.1093/jamia/ocy038
https://doi.org/10.1093/jamia/ocy038
Autor:
Marcelo Fiszman, Halil Kilicoglu, Catherine Blake, Caroline J. Zeiss, Jodi Schneider, Thomas C. Rindflesch, Graciela Rosemblat
Informatics methodologies exploit computer-assisted techniques to help biomedical researchers manage large amounts of information. In this paper, we focus on the biomedical research literature (MEDLINE). We first provide an overview of some text mini
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::96930739f344ccbeaffa74402834549d
https://europepmc.org/articles/PMC5886329/
https://europepmc.org/articles/PMC5886329/
Publikováno v:
J Biomed Inform
Background With the substantial growth in the biomedical research literature, a larger number of claims are published daily, some of which seemingly disagree with or contradict prior claims on the same topics. Resolving such contradictions is critica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::589f91e20f9775328a2663bbee1bf80d
https://doi.org/10.1016/j.jbi.2019.103275
https://doi.org/10.1016/j.jbi.2019.103275
Autor:
Zeshan Peng, Shabnam Tafreshi, Graciela Rosemblat, Halil Kilicoglu, Tung Tran, Jodi Schneider
Publikováno v:
J Biomed Inform
Quantifying scientific impact of researchers and journals relies largely on citation counts, despite the acknowledged limitations of this approach. The need for more suitable alternatives has prompted research into developing advanced metrics, such a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ceeb308c3ab64aaf1cbc2fb5a874881
https://doi.org/10.1016/j.jbi.2019.103123
https://doi.org/10.1016/j.jbi.2019.103123
Publikováno v:
Journal of Biomedical Informatics. 46:1099-1107
Graphical abstractDisplay Omitted Integrating new domain knowledge into the UMLS extends SemRep core coverage.An existing ontology-building method is adapted to accommodate the new knowledge.Text analysis uncovers non-UMLS domain knowledge for a medi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7fb71d402fc585042a9f3aa7024f5830
https://doi.org/10.1016/j.jbi.2013.08.005
https://doi.org/10.1016/j.jbi.2013.08.005
Autor:
Charles Sneiderman, Melissa P. Resnick, Ione Auston, Dongwook Shin, Graciela Rosemblat, Thomas C. Rindflesch, Marcelo Fizsman
Publikováno v:
Journal of the American Society for Information Science and Technology. 64:1963-1974
We describe the use of a domain-independent methodology to extend a natural language processing (NLP) application, SemRep (Rindflesch, Fiszman, & Libbus, 2005), based on the knowledge sources afforded by the Unified Medical Language System (UMLS®) (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83d55946ac947641be99cf4c803b9914
https://doi.org/10.1002/asi.22899
https://doi.org/10.1002/asi.22899