Zobrazeno 1 - 10
of 193
pro vyhledávání: '"Khaled El Emam"'
Autor:
Ana-Alicia Beltran-Bless, Mark Clemons, Lisa Vandermeer, Khaled El Emam, Terry L. Ng, Sharon McGee, Arif Ali Awan, Gregory Pond, Julie Renaud, Gwen Barton, Brian Hutton, Marie-France Savard
Publikováno v:
Current Oncology, Vol 31, Iss 3, Pp 1376-1388 (2024)
Patients, families, healthcare providers and funders face multiple comparable treatment options without knowing which provides the best quality of care. As a step towards improving this, the REthinking Clinical Trials (REaCT) pragmatic trials program
Externí odkaz:
https://doaj.org/article/f3613d1f36524433a33a1ce65b55e6df
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Synthetic data generation is being increasingly used as a privacy preserving approach for sharing health data. In addition to protecting privacy, it is important to ensure that generated data has high utility. A common way to assess utility
Externí odkaz:
https://doaj.org/article/406fc218692d43d0840e8a0e8fa94ffe
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e52508 (2024)
The number of papers presenting machine learning (ML) models that are being submitted to and published in the Journal of Medical Internet Research and other JMIR Publications journals has steadily increased. Editors and peer reviewers involved in the
Externí odkaz:
https://doaj.org/article/da3ff998251a4ea4ade3f50ed247c71e
Publikováno v:
JMIR Formative Research, Vol 8, p e53241 (2024)
BackgroundElectronic health records are a valuable source of patient information that must be properly deidentified before being shared with researchers. This process requires expertise and time. In addition, synthetic data have considerably reduced
Externí odkaz:
https://doaj.org/article/098a4724810d41cfba71238354ae5d40
Autor:
Zahra Azizi, Simon Lindner, Yumika Shiba, Valeria Raparelli, Colleen M. Norris, Karolina Kublickiene, Maria Trinidad Herrero, Alexandra Kautzky-Willer, Peter Klimek, Teresa Gisinger, Louise Pilote, Khaled El Emam
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract Sharing health data for research purposes across international jurisdictions has been a challenge due to privacy concerns. Two privacy enhancing technologies that can enable such sharing are synthetic data generation (SDG) and federated anal
Externí odkaz:
https://doaj.org/article/1dc86c47e8894a959c60452ce5646a1a
Autor:
Lucy Mosquera, Khaled El Emam, Lei Ding, Vishal Sharma, Xue Hua Zhang, Samer El Kababji, Chris Carvalho, Brian Hamilton, Dan Palfrey, Linglong Kong, Bei Jiang, Dean T. Eurich
Publikováno v:
BMC Medical Research Methodology, Vol 23, Iss 1, Pp 1-21 (2023)
Abstract Getting access to administrative health data for research purposes is a difficult and time-consuming process due to increasingly demanding privacy regulations. An alternative method for sharing administrative health data would be to share sy
Externí odkaz:
https://doaj.org/article/a43118477b614acab120bb0a58e96edc
Autor:
William Klement, Khaled El Emam
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e48763 (2023)
BackgroundThe reporting of machine learning (ML) prognostic and diagnostic modeling studies is often inadequate, making it difficult to understand and replicate such studies. To address this issue, multiple consensus and expert reporting guidelines f
Externí odkaz:
https://doaj.org/article/b2801fb831f94496bc2534d74d2ef3e3
Publikováno v:
JMIR AI, Vol 2, p e47995 (2023)
Common reporting and methodological patterns were observed from the peer reviews of prognostic and diagnostic machine learning modeling studies submitted to JMIR AI. In this editorial, we summarized some key observations to inform future studies and
Externí odkaz:
https://doaj.org/article/d311b126c61e462c97825c62764d2eb0
Autor:
Maged N. Kamel Boulos, Mei-Po Kwan, Khaled El Emam, Ada Lai-Ling Chung, Song Gao, Douglas B. Richardson
Publikováno v:
International Journal of Health Geographics, Vol 21, Iss 1, Pp 1-9 (2022)
Abstract This article provides a state-of-the-art summary of location privacy issues and geoprivacy-preserving methods in public health interventions and health research involving disaggregate geographic data about individuals. Synthetic data generat
Externí odkaz:
https://doaj.org/article/2d32f41013cf4c90a58dce2f14cec5f7
Autor:
Teresa Gisinger, Zahra Azizi, Pouria Alipour, Jürgen Harreiter, Valeria Raparelli, Karolina Kublickiene, Maria Trinidad Herrero, Colleen M. Norris, Khaled El Emam, Louise Pilote, Alexandra Kautzky-Willer
Publikováno v:
Frontiers in Public Health, Vol 11 (2023)
AimsThe aim of this study was to elucidate whether sex and gender factors influence access to health care and/or are associated with cardiovascular (CV) outcomes of individuals with diabetes mellitus (DM) across different countries.MethodsUsing data
Externí odkaz:
https://doaj.org/article/a0cee8b2ecc54a2eb01d23372daa0b76