Zobrazeno 1 - 10
of 96
pro vyhledávání: '"Byron C Wallace"'
Autor:
James Thomas, Iain James Marshall, Veline L'Esperance, Rachel Marshall, Anna Noel-Storr, Frank Soboczenski, Benjamin Nye, Ani Nenkova, Byron C Wallace
Publikováno v:
BMJ Global Health, Vol 6, Iss 1 (2021)
Introduction Ideally, health conditions causing the greatest global disease burden should attract increased research attention. We conducted a comprehensive global study investigating the number of randomised controlled trials (RCTs) published on dif
Externí odkaz:
https://doaj.org/article/84193547591443dc9fea8edfd6b67b07
Publikováno v:
Computational Linguistics, Vol 47, Iss 1, Pp 117-140 (2021)
AbstractNamed entity recognition systems achieve remarkable performance on domains such as English news. It is natural to ask: What are these models actually learning to achieve this? Are they merely memorizing the names themselves? Or are they capab
Externí odkaz:
https://doaj.org/article/78ad4f62982946e3bf91be0618ac8b5a
Autor:
Iain J. Marshall, Byron C. Wallace
Publikováno v:
Systematic Reviews, Vol 8, Iss 1, Pp 1-10 (2019)
Abstract Technologies and methods to speed up the production of systematic reviews by reducing the manual labour involved have recently emerged. Automation has been proposed or used to expedite most steps of the systematic review process, including s
Externí odkaz:
https://doaj.org/article/a89a7991ef70442b97aa20a88d5ad6f7
Autor:
Frank Soboczenski, Thomas A. Trikalinos, Joël Kuiper, Randolph G. Bias, Byron C. Wallace, Iain J. Marshall
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 19, Iss 1, Pp 1-12 (2019)
Abstract Objective Assessing risks of bias in randomized controlled trials (RCTs) is an important but laborious task when conducting systematic reviews. RobotReviewer (RR), an open-source machine learning (ML) system, semi-automates bias assessments.
Externí odkaz:
https://doaj.org/article/2439d8044ca64884b24df73ffaa3c92c
Autor:
Iain J. Marshall, Thomas A. Trikalinos, Frank Soboczenski, Hye Sun Yun, Gregory Kell, Rachel Marshall, Byron C. Wallace
Publikováno v:
Journal of Clinical Epidemiology. 153:26-33
The aim of this study is to describe and pilot a novel method for continuously identifying newly published trials relevant to a systematic review, enabled by combining artificial intelligence (AI) with human expertise.We used RobotReviewer LIVE to ke
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::364c186804a9c803698b3bea014850d9
https://doi.org/10.1016/j.jclinepi.2022.08.013
https://doi.org/10.1016/j.jclinepi.2022.08.013
Autor:
Ian J. Saldanha, Christopher H. Schmid, Joseph Lau, Kay Dickersin, Jesse A. Berlin, Jens Jap, Bryant T. Smith, Simona Carini, Wiley Chan, Berry De Bruijn, Byron C. Wallace, Susan M. Hutfless, Ida Sim, M. Hassan Murad, Sandra A. Walsh, Elizabeth J. Whamond, Tianjing Li
Publikováno v:
Systematic Reviews, Vol 5, Iss 1, Pp 1-11 (2016)
Abstract Background Data abstraction, a critical systematic review step, is time-consuming and prone to errors. Current standards for approaches to data abstraction rest on a weak evidence base. We developed the Data Abstraction Assistant (DAA), a no
Externí odkaz:
https://doaj.org/article/3b73b29a64e8480db248cf2deb722103
Pretraining multimodal models on Electronic Health Records (EHRs) provides a means of learning representations that can transfer to downstream tasks with minimal supervision. Recent multimodal models induce soft local alignments between image regions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::11810b5c025c0492766f3bf690d7aa12
Publikováno v:
Methods in Molecular Biology ISBN: 9781071615652
Traditionally, literature identification for systematic reviews has relied on a two-step process: first, searching databases to identify potentially relevant citations, and then manually screening those citations. A number of tools have been develope
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6fa5d3e9a3c089558c3f799641d1c59
https://doi.org/10.1007/978-1-0716-1566-9_2
https://doi.org/10.1007/978-1-0716-1566-9_2
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 2345
Traditionally, literature identification for systematic reviews has relied on a two-step process: first, searching databases to identify potentially relevant citations, and then manually screening those citations. A number of tools have been develope
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::24d7562aa842b09d3c15db1e772b8bba
https://pubmed.ncbi.nlm.nih.gov/34550582
https://pubmed.ncbi.nlm.nih.gov/34550582
Autor:
Benjamin E, Nye, Jay, DeYoung, Eric, Lehman, Ani, Nenkova, Iain J, Marshall, Byron C, Wallace
Publikováno v:
AMIA Annu Symp Proc
The best evidence concerning comparative treatment effectiveness comes from clinical trials, the results of which are reported in unstructured articles. Medical experts must manually extract information from articles to inform decision-making, which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::7569966f74a2af447b4c734396950505
https://pubmed.ncbi.nlm.nih.gov/34457164
https://pubmed.ncbi.nlm.nih.gov/34457164