Zobrazeno 1 - 10
of 73
pro vyhledávání: '"de Bruijn Berry"'
When comparing entities extracted by a medical entity recognition system with gold standard annotations over a test set, two types of mismatches might occur, label mismatch or span mismatch. Here we focus on span mismatch and show that its severity c
Externí odkaz:
http://arxiv.org/abs/2006.05281
Autor:
Carter, Dave, Stojanovic, Marta, Hachey, Philip, Fournier, Kevin, Rodier, Simon, Wang, Yunli, de Bruijn, Berry
Global public health surveillance relies on reporting structures and transmission of trustworthy health reports. But in practice, these processes may not always be fast enough, or are hindered by procedural, technical, or political barriers. GPHIN, t
Externí odkaz:
http://arxiv.org/abs/2004.04596
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 10, Iss 1, p 56 (2010)
Abstract Background Clinical trials are one of the most important sources of evidence for guiding evidence-based practice and the design of new trials. However, most of this information is available only in free text - e.g., in journal publications -
Externí odkaz:
https://doaj.org/article/f82c7016e04348158682fefcabe726d6
Autor:
Fraser, Kathleen C., Nejadgholi, Isar, De Bruijn, Berry, Li, Muqun, LaPlante, Astha, Abidine, Khaldoun Zine El
Entity recognition is a critical first step to a number of clinical NLP applications, such as entity linking and relation extraction. We present the first attempt to apply state-of-the-art entity recognition approaches on a newly released dataset, Me
Externí odkaz:
http://arxiv.org/abs/1910.01274
Autor:
Baskin Berivan, Zhang Shudong, Tuekam Brigitte, Lay Vicki, Wolting Cheryl, de Bruijn Berry, Martin Joel, Donaldson Ian, Bader Gary D, Michalickova Katerina, Pawson Tony, Hogue Christopher WV
Publikováno v:
BMC Bioinformatics, Vol 4, Iss 1, p 11 (2003)
Abstract Background The majority of experimentally verified molecular interaction and biological pathway data are present in the unstructured text of biomedical journal articles where they are inaccessible to computational methods. The Biomolecular i
Externí odkaz:
https://doaj.org/article/0f22bf78af614665abbefcf57e2eb66f
Our team, NRC-Canada, participated in two shared tasks at the AMIA-2017 Workshop on Social Media Mining for Health Applications (SMM4H): Task 1 - classification of tweets mentioning adverse drug reactions, and Task 2 - classification of tweets descri
Externí odkaz:
http://arxiv.org/abs/1805.04558
Autor:
Li, Tianjing, Saldanha, Ian J., Jap, Jens, Smith, Bryant T., Canner, Joseph, Hutfless, Susan M., Branch, Vernal, Carini, Simona, Chan, Wiley, de Bruijn, Berry, Wallace, Byron C., Walsh, Sandra A., Whamond, Elizabeth J., Murad, M. Hassan, Sim, Ida, Berlin, Jesse A., Lau, Joseph, Dickersin, Kay, Schmid, Christopher H.
Publikováno v:
In Journal of Clinical Epidemiology November 2019 115:77-89
Publikováno v:
In Journal of Clinical Epidemiology October 2016 78:108-115
Publikováno v:
In Journal of Biomedical Informatics April 2013 46(2):275-285
Autor:
Wang, Shihan, Schraagen, Marijn, Tjong Kim Sang, Erik, Dastani, Mehdi, Verspoor, Karin, Bretonnel Cohen, Kevin, Conway, Michael, de Bruijn, Berry, Dredze, Mark, Mihalcea, Rada, Wallace, Byron
Public sentiment (the opinion, attitude or feeling that the public expresses) is a factor of interest for government, as it directly influences the implementation of policies. Given the unprecedented nature of the COVID-19 crisis, having an up-to-dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______101::46b074cf29f390a7dcfce09c61625f0c
https://dspace.library.uu.nl/handle/1874/414714
https://dspace.library.uu.nl/handle/1874/414714