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of 45
pro vyhledávání: '"Elghafari A"'
Students of Computer Science often wonder when, exactly, one can apply a greedy algorithm to a problem, and when one must use the more complicated and time-consuming techniques of dynamic programming. This paper argues that the existing pedagogical l
Externí odkaz:
http://arxiv.org/abs/2011.10004
Autor:
Castelo, Sonia, Almeida, Thais, Elghafari, Anas, Santos, Aécio, Pham, Kien, Nakamura, Eduardo, Freire, Juliana
Fake news and misinformation have been increasingly used to manipulate popular opinion and influence political processes. To better understand fake news, how they are propagated, and how to counter their effect, it is necessary to first identify them
Externí odkaz:
http://arxiv.org/abs/1905.00957
Online communities provide a unique way for individuals to access information from those in similar circumstances, which can be critical for health conditions that require daily and personalized management. As these groups and topics often arise orga
Externí odkaz:
http://arxiv.org/abs/1812.00912
Autor:
Elghafari, Anas, Finkelstein, Joseph
Publikováno v:
JMIR Medical Informatics, Vol 9, Iss 2, p e18298 (2021)
BackgroundCommon disease-specific outcomes are vital for ensuring comparability of clinical trial data and enabling meta analyses and interstudy comparisons. Traditionally, the process of deciding which outcomes should be recommended as common for a
Externí odkaz:
https://doaj.org/article/31a12f07d4c54fbe8b5554fa0aebb2fb
Autor:
Anas, Elghafari, Joseph, Finkelstein
Publikováno v:
Studies in health technology and informatics. 290
The CDISC Controlled Terminology (CT) defines the terms that may be used to represent clinical trial data in the CDISC standards. Despite its unique importance, there has been limited systematic examination of the coverage of this terminology. In thi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::a665b718939bb13f976cea2d490ca118
https://pubmed.ncbi.nlm.nih.gov/35672981
https://pubmed.ncbi.nlm.nih.gov/35672981
Autor:
Anas, Elghafari, Joseph, Finkelstein
Publikováno v:
Studies in health technology and informatics. 284
Common outcome sets are vital for ensuring usability of clinical trial results and enabling inter-study comparisons. The task of identifying clinical outcomes for a particular field is cumbersome and time-consuming. The aim of this work was to develo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::00ccf95405012acd0c59663be44ef552
https://pubmed.ncbi.nlm.nih.gov/34920582
https://pubmed.ncbi.nlm.nih.gov/34920582
Autor:
Anas Elghafari, Joseph Finkelstein
Common outcome sets are vital for ensuring usability of clinical trial results and enabling inter-study comparisons. The task of identifying clinical outcomes for a particular field is cumbersome and time-consuming. The aim of this work was to develo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4dfd3680f6d52d902f76f62eadb3d808
https://doi.org/10.3233/shti210784
https://doi.org/10.3233/shti210784
Autor:
Anas Elghafari, Joseph Finkelstein
Publikováno v:
JMIR Medical Informatics, Vol 9, Iss 2, p e18298 (2021)
JMIR Medical Informatics
JMIR Medical Informatics
Background Common disease-specific outcomes are vital for ensuring comparability of clinical trial data and enabling meta analyses and interstudy comparisons. Traditionally, the process of deciding which outcomes should be recommended as common for a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::750c5a71ee4b3a999691fd0ae0efc9a6
http://medinform.jmir.org/2021/2/e18298/
http://medinform.jmir.org/2021/2/e18298/
Autor:
Anas, Elghafari, Joseph, Finkelstein
Publikováno v:
Studies in health technology and informatics. 272
Common Data Elements (CDEs) are necessary for ensuring data sharing across studies, providing comparability, and enabling aggregation and meta-analyses. The process of developing a set of CDEs for a given clinical research area has typically been ard
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::1a001b2dca73f9342d894fb52e9aaf4a
https://pubmed.ncbi.nlm.nih.gov/32604681
https://pubmed.ncbi.nlm.nih.gov/32604681
Autor:
Anas Elghafari, Joseph Finkelstein
BACKGROUND Common disease-specific outcomes are vital for ensuring comparability of clinical trial data and enabling meta analyses and interstudy comparisons. Traditionally, the process of deciding which outcomes should be recommended as common for a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3403e674f981d61260a7d0fdbf12f2bf
https://doi.org/10.2196/preprints.18298
https://doi.org/10.2196/preprints.18298