Výsledky vyhledávání - "El Emam Khaled"

Akademický článek

Estimating the re-identification risk of clinical data sets

Autor: Dankar Fida, El Emam Khaled, Neisa Angelica, Roffey Tyson

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

Zobrazit plný text záznamu

Akademický článek

Physician privacy concerns when disclosing patient data for public health purposes during a pandemic influenza outbreak

Autor: Grava-Gubins Inese, Moreau Katherine, Mercer Jay, El Emam Khaled, Buckeridge David, Jonker Elizabeth

Publikováno v: BMC Public Health, Vol 11, Iss 1, p 454 (2011)

Abstract Background Privacy concerns by providers have been a barrier to disclosing patient information for public health purposes. This is the case even for mandated notifiable disease reporting. In the context of a pandemic it has been argued that

Externí odkaz: https://doaj.org/article/7b6e5b5e51e347d4b11155c5f7ee3228

Zobrazit plný text záznamu

Akademický článek

The re-identification risk of Canadians from longitudinal demographics

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

Zobrazit plný text záznamu

Akademický článek

A method for managing re-identification risk from small geographic areas in Canada

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

Zobrazit plný text záznamu