Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Ellie Johnston"'
Autor:
Kevin G. Pollock, Sara Sekelj, Ellie Johnston, Belinda Sandler, Nathan R. Hill, Fu Siong Ng, Sadia Khan, Ayman Nassar, Usman Farooqui
Publikováno v:
International Journal of Cardiology: Heart & Vasculature, Vol 31, Iss , Pp 100674- (2020)
Atrial fibrillation (AF) is the most common sustained heart arrhythmia and significantly increases risk of stroke. Opportunistic AF testing in high-risk patients typically requires frequent electrocardiogram tests to capture the arrhythmia. Risk-pred
Externí odkaz:
https://doaj.org/article/5c2ee79e0f0140d6802c6ade82f407b5
Autor:
Sara Sekelj, Ellie Johnston, Usman Farooqui, Carmen Tsang, Kevin G.J. Pollock, Belinda Sandler, Fu Siong Ng, Nathan R. Hill, Sadia Khan, Jason Gordon
Aims To evaluate the ability of a machine learning algorithm to identify patients at high risk of atrial fibrillation in primary care. Methods A retrospective cohort study was undertaken using the DISCOVER registry to validate an algorithm developed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c0b369106ed49774048f40b9a6a2a96
http://hdl.handle.net/10044/1/82478
http://hdl.handle.net/10044/1/82478
Autor:
Sadia Khan, Kevin G.J. Pollock, Fu Siong Ng, Ellie Johnston, Ayman Nassar, Sara Sekelj, Belinda Sandler, Nathan R. Hill, Usman Farooqui
Publikováno v:
International Journal of Cardiology: Heart & Vasculature, Vol 31, Iss, Pp 100674-(2020)
International Journal of Cardiology. Heart & Vasculature
International Journal of Cardiology. Heart & Vasculature
Highlights • Machine learning algorithms can accurately identify undiagnosed atrial fibrillation in patients. • Algorithms developed in primary care can be used in secondary care with reasonable performance. • An appreciable proportion of patie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60f5a6c916c4ad44871d44f30f4f6d03
https://doi.org/10.1016/j.ijcha.2020.100674
https://doi.org/10.1016/j.ijcha.2020.100674
Autor:
Michelle F. Barratt, Russell J Blackman, Ellie Johnston, Sharlene Mantz, Steven Roodenrys, Kylie Loveday, Stuart J. Johnstone
Publikováno v:
ADHD Attention Deficit and Hyperactivity Disorders. 4:11-23
There is accumulating evidence that computerised cognitive training of inhibitory control and/or working memory can lead to behavioural improvement in children with AD/HD. Using a randomised waitlist control design, the present study examined the eff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d2df1dc45b6857596088f26fcb35a275
https://doi.org/10.1007/s12402-011-0069-8
https://doi.org/10.1007/s12402-011-0069-8
Publikováno v:
Frontiers in Human Neuroscience. 7
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::791983821ba517f95d68633866e86bb0