Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Neisa, Angelica"'
Autor:
El Emam, Khaled, Jonker, Elizabeth, Sampson, Margaret, Krleža-Jerić, Karmela, Neisa, Angelica
Publikováno v:
Journal of Medical Internet Research, Vol 11, Iss 1, p e8 (2009)
Background Electronic data capture (EDC) tools provide automated support for data collection, reporting, query resolution, randomization, and validation, among other features, for clinical trials. There is a trend toward greater adoption of EDC tools
Externí odkaz:
https://doaj.org/article/f9b1e94b2cf34b319c6e530d53f695e6
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 12, Iss 1, p 66 (2012)
Abstract Background De-identification is a common way to protect patient privacy when disclosing clinical data for secondary purposes, such as research. One type of attack that de-identification protects against is linking the disclosed patient data
Externí odkaz:
https://doaj.org/article/53a3868fed9c4d699de4623fac26bec0
Autor:
Neisa Angelica, Tamblyn Robyn, Buckeridge David, El Emam Khaled, Jonker Elizabeth, Verma Aman
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 11, Iss 1, p 46 (2011)
Abstract Background The public is less willing to allow their personal health information to be disclosed for research purposes if they do not trust researchers and how researchers manage their data. However, the public is more comfortable with their
Externí odkaz:
https://doaj.org/article/cd0902d1c13446af81a5a82506e989ba
Autor:
Neisa Angelica, AbdelMalik Philip, Brown Ann, El Emam Khaled, Walker Mark, Bottomley Jim, Roffey Tyson
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 10, Iss 1, p 18 (2010)
Abstract Background A common disclosure control practice for health datasets is to identify small geographic areas and either suppress records from these small areas or aggregate them into larger ones. A recent study provided a method for deciding wh
Externí odkaz:
https://doaj.org/article/664e8b2268154389b9c3c439c22533f0
Akademický článek
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Autor:
Elm, Joseph P., Goldenson, Dennis, Emam, Khaled El, Donatelli, Nicole, Neisa, Angelica, NDIA SE Effectiveness Committee
This survey quantifies the relationship between the application of Systems Engineering (SE) best practices to projects and programs, and the performance of those projects and programs. The survey population consisted of projects and programs executed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7349979ee7a47c03c14eacb0a4a33204
Publikováno v:
Journal of Medical Internet Research
Background Open source (OS) software is continuously gaining recognition and use in the biomedical domain, for example, in health informatics and bioinformatics. Objectives Given the mission critical nature of applications in this domain and their po
Autor:
Elm, Joseph P., Goldenson, Dennis, Emam, Khaled El, Donatelli, Nicole, Neisa, Angelica, NDIA SE Effectiveness Committee
This survey quantifies the relationship between the application of Systems Engineering (SE) best practices to projects and programs, and the performance of those projects and programs. The survey population consisted of projects and programs executed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::324f9432866f2a4f043716ec444169a3
Akademický článek
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