Zobrazeno 1 - 10
of 90
pro vyhledávání: '"James H Boyd"'
Publikováno v:
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
The healthcare sector's adoption of data and digital technologies is hindered by stringent data privacy regulations. Synthetic data, common data models (CDMs) and federated data ecosystems present promising solutions to these challenges. This worksho
Externí odkaz:
https://doaj.org/article/4fc73dd3737d4823ad874dd89715807b
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e49431 (2024)
BackgroundThe COVID-19 pandemic placed an additional mental health burden on individuals and families, resulting in widespread service access problems. Digital mental health interventions suggest promise for improved accessibility. Recent reviews hav
Externí odkaz:
https://doaj.org/article/8c773e2edcda4856924c5c0a72b83fb5
Autor:
Richard J Varhol, Richard Norman, Sean Randall, Crystal Man Ying Lee, Luke Trevenen, James H Boyd, Suzanne Robinson
Publikováno v:
PLoS ONE, Vol 18, Iss 11, p e0290528 (2023)
ObjectiveTo investigate public willingness to share sensitive health information for research, health policy and clinical practice.MethodsA total of 1,003 Australian respondents answered an online, attribute-driven, survey in which participants were
Externí odkaz:
https://doaj.org/article/f0e5bc8d376a476a8a35111e625dea21
Publikováno v:
Online Learning, Vol 26, Iss 4 (2022)
Training and development programs are increasingly delivered online with numerous studies reporting no differences in learning outcomes between online and traditional learning. However, there are no established standardized methods to evaluate the ef
Externí odkaz:
https://doaj.org/article/ecc03a446e2a4d7ead62a7015407ae81
Autor:
David K E Lim, James H Boyd, Elizabeth Thomas, Aron Chakera, Sawitchaya Tippaya, Ashley Irish, Justin Manuel, Kim Betts, Suzanne Robinson
Publikováno v:
PLoS ONE, Vol 17, Iss 7, p e0271619 (2022)
ObjectiveTo provide a review of prediction models that have been used to measure clinical or pathological progression of chronic kidney disease (CKD).DesignScoping review.Data sourcesMedline, EMBASE, CINAHL and Scopus from the year 2011 to 17th Febru
Externí odkaz:
https://doaj.org/article/e5a333ed3b634670920cf8a5e4926a97
Autor:
James H Boyd, Sean Randall, Adrian P Brown, Max Maller, Davie Botes, Margo Gillies, Anna Ferrante
Publikováno v:
International Journal of Population Data Science, Vol 4, Iss 2 (2020)
The Centre for Data Linkage (CDL) was established at Curtin University, Western Australia, to develop infrastructure to enable cross-jurisdictional record linkage in Australia. The CDL’s operating model makes use of the ‘separation principle’,
Externí odkaz:
https://doaj.org/article/b1294c9240894927b604c672cbb1ccf6
Autor:
Thirthar P Vetrichevvel, Sean M Randall, Fiona M Wood, Suzanne Rea, James H Boyd, Janine M Duke
Publikováno v:
Burns & Trauma, Vol 6, Iss 1, Pp 1-10 (2018)
Abstract Background A number of studies report high prevalence of mental health conditions among burn patients. However there is a need to understand differences in the temporal relationship between mental health conditions and intentional and uninte
Externí odkaz:
https://doaj.org/article/498886def6a744d1973bd12953aa00b7
Publikováno v:
International Journal of Population Data Science, Vol 4, Iss 1 (2019)
Introduction Available and practical methods for privacy preserving linkage have shortcomings: methods utilising anonymous linkage codes provide limited accuracy while methods based on Bloom filters have proven vulnerable to frequency-based attacks.
Externí odkaz:
https://doaj.org/article/95ca622bcfb8461dae84357875891438
Publikováno v:
International Journal of Population Data Science, Vol 4, Iss 1 (2019)
Introduction The need for increased privacy protection in data linkage has driven the development of privacy-preserving record linkage (PPRL) techniques. A popular technique using Bloom filters with cryptographic analyses, modifications, and hashing
Externí odkaz:
https://doaj.org/article/88c3d8e0d68342598f1174341f40b70f
Publikováno v:
PLoS ONE, Vol 12, Iss 1, p e0169302 (2017)
Burn injury initiates an acute inflammatory response that subsequently drives wound repair. However, acute disruption to the immune response is also common, leading to susceptibility to sepsis and increased morbidity and mortality. Despite increased
Externí odkaz:
https://doaj.org/article/d252f350598d4daa80e3eaaaac78803f