Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Simon Šuster"'
Autor:
Simon Šuster, Timothy Baldwin, Jey Han Lau, Antonio Jimeno Yepes, David Martinez Iraola, Yulia Otmakhova, Karin Verspoor
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e35568 (2023)
BackgroundAssessment of the quality of medical evidence available on the web is a critical step in the preparation of systematic reviews. Existing tools that automate parts of this task validate the quality of individual studies but not of entire bod
Externí odkaz:
https://doaj.org/article/e41baba29de84096a3e5791b433069b2
Publikováno v:
Journal of Medical Internet Research, Vol 24, Iss 12, p e38859 (2022)
BackgroundPublication of registered clinical trials is a critical step in the timely dissemination of trial findings. However, a significant proportion of completed clinical trials are never published, motivating the need to analyze the factors behin
Externí odkaz:
https://doaj.org/article/a4aeb530fab0412c93ddfc2abab299c1
Publikováno v:
Journal of Clinical Epidemiology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4ee46c7753057c7e20b7472a2087f04
https://doi.org/10.1016/j.jclinepi.2023.04.006
https://doi.org/10.1016/j.jclinepi.2023.04.006
Autor:
Simon Šuster, Timothy Baldwin, Jey Han Lau, Antonio Jimeno Yepes, David Martinez Iraola, Yulia Otmakhova, Karin Verspoor
BACKGROUND Assessment of the quality of medical evidence available on the web is a critical step in the preparation of systematic reviews. Existing tools that automate parts of this task validate the quality of individual studies but not of entire bo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b350d689132e07416ea7fdc9891e6d91
https://doi.org/10.2196/preprints.35568
https://doi.org/10.2196/preprints.35568
Publikováno v:
Proceedings of the 12th international workshop on Health Text Mining and Information Analysis
University of Antwerp
University of Antwerp
Neural encoders of biomedical names are typically considered robust if representations can be effectively exploited for various downstream NLP tasks. To achieve this, encoders need to model domain-specific biomedical semantics while rivaling the univ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::669a5fe7b7b025a1cac4375137a7ee79
https://hdl.handle.net/10067/1832920151162165141
https://hdl.handle.net/10067/1832920151162165141
Unsupervised patient representations from clinical notes with interpretable classification decisions
Publikováno v:
University of Antwerp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7e21a1293b50819ba1cb763156542d0b
https://hdl.handle.net/10067/1478370151162165141
https://hdl.handle.net/10067/1478370151162165141
Publikováno v:
University of Antwerp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::82983b79cd71516b29bf2166d11660e0
https://hdl.handle.net/10067/1756880151162165141
https://hdl.handle.net/10067/1756880151162165141