Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Nathan Cunningham"'
Development and assessment of a machine learning tool for predicting emergency admission in Scotland
Autor:
James Liley, Gergo Bohner, Samuel R. Emerson, Bilal A. Mateen, Katie Borland, David Carr, Scott Heald, Samuel D. Oduro, Jill Ireland, Keith Moffat, Rachel Porteous, Stephen Riddell, Simon Rogers, Ioanna Thoma, Nathan Cunningham, Chris Holmes, Katrina Payne, Sebastian J. Vollmer, Catalina A. Vallejos, Louis J. M. Aslett
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-13 (2024)
Abstract Emergency admissions (EA), where a patient requires urgent in-hospital care, are a major challenge for healthcare systems. The development of risk prediction models can partly alleviate this problem by supporting primary care interventions a
Externí odkaz:
https://doaj.org/article/87b768a0942545ce93fa1cd0c65c73ab
Autor:
James Liley, Gergo Bohner, Samuel R. Emerson, Bilal A. Mateen, Katie Borland, David Carr, Scott Heald, Samuel D. Oduro, Jill Ireland, Keith Moffat, Rachel Porteous, Stephen Riddell, Simon Rogers, Ioanna Thoma, Nathan Cunningham, Chris Holmes, Katrina Payne, Sebastian J. Vollmer, Catalina A. Vallejos, Louis J. M. Aslett
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/0c2c5f44ee024c08b8eaf5ef02d7bcc0
Autor:
Suzanne Barbalet, Nathan Cunningham
Publikováno v:
Catalogue and Index, Iss 186, Pp 10-14 (2017)
Externí odkaz:
https://doaj.org/article/8872208cd00a422c96b1a1489f31c3a2
Publikováno v:
PLoS ONE, Vol 11, Iss 6, p e0156172 (2016)
OBJECTIVE:Internationally, caesarean section (CS) rates are rising. However, mean rates of CS across providers obscure extremes of CS provision. We aimed to quantify variation between all maternity units in Ireland. METHODS:Two national databases, th
Externí odkaz:
https://doaj.org/article/7f4e55f1d9aa4430aa0158c3bd595c9d
Autor:
Sarah Callaghan, Steve Donegan, Sam Pepler, Mark Thorley, Nathan Cunningham, Peter Kirsch, Linda Ault, Patrick Bell, Rod Bowie, Adam Leadbetter, Roy Lowry, Gwen Moncoiffé, Kate Harrison, Ben Smith-Haddon, Anita Weatherby, Dan Wright
Publikováno v:
International Journal of Digital Curation, Vol 7, Iss 1, Pp 107-113 (2012)
The NERC Science Information Strategy Data Citation and Publication project aims to develop and formalise a method for formally citing and publishing the datasets stored in its environmental data centres. It is believed that this will act as an incen
Externí odkaz:
https://doaj.org/article/81b51171a0d841038cc8fcea738625fe
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 2485
Microelectrode array (MEA) is an electrophysiological instrument used to track activities of ion channels in excitable cells. Neurons and cardiomyocytes are seeded to form a cell monolayer on a field of sensors able to detect electrical signals, call
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::1ac144efdb5237fbd5b13d6e319ba55a
https://pubmed.ncbi.nlm.nih.gov/35618901
https://pubmed.ncbi.nlm.nih.gov/35618901
Publikováno v:
Methods in Molecular Biology ISBN: 9781071622605
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6e792849484b0669bc6c07a1a7d90f1c
https://doi.org/10.1007/978-1-0716-2261-2_7
https://doi.org/10.1007/978-1-0716-2261-2_7
Development and assessment of a machine learning tool for predicting emergency admission in Scotland
Autor:
Stephen Riddell, Bilal A. Mateen, Catalina A. Vallejos, Christopher Holmes, Katrina Payne, Gergo Bohner, Katie Borland, Keith Ra. Moffat, Nathan Cunningham, Sebastian J. Vollmer, David Carr, James Liley, Samuel D. Oduro, Louis J. M. Aslett, Jill Ireland, Samuel R. Emerson, Rachel Porteous, Scott Heald
Avoiding emergency hospital admission (EA) is advantageous to individual health and the healthcare system. We develop a statistical model estimating risk of EA for most of the Scottish population (> 4.8Mindividuals) using electronic health records, s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afa0e9cdd18eca6b6e66829a866fecf8
https://doi.org/10.1101/2021.08.06.21261593
https://doi.org/10.1101/2021.08.06.21261593
Autor:
Kevin McCraney, Josephine Hoy, Kristin Dew, Megan Finn, Colin Morgan, Nathan Cunningham, Daniela K. Rosner, Suzanne Black
Publikováno v:
Journal of Critical Library and Information Studies. 3
The goal of this syllabus is to interrogate the material, and socioeconomic processes which underpin our everyday information work. In particular, we examine the relationships developing between contemporary information practices and what problematic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::833087d10a96cf5b8e6b42a1eba25a50
https://doi.org/10.24242/jclis.v3i1.137
https://doi.org/10.24242/jclis.v3i1.137
We present a novel nonparametric Bayesian approach for performing cluster analysis in a context where observational units have data arising from multiple sources. Our approach uses a particle Gibbs sampler for inference in which cluster allocations a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::721cf2f639af1cf0fb55467c5db28fd6
http://wrap.warwick.ac.uk/137417/7/WRAP-Particle-Monte-Carlo-methods-cluster-analysis-Wild-2020.pdf
http://wrap.warwick.ac.uk/137417/7/WRAP-Particle-Monte-Carlo-methods-cluster-analysis-Wild-2020.pdf