Zobrazeno 1 - 10
of 3 922
pro vyhledávání: '"C Penny"'
Autor:
D.J. Bell, C-A. Duthie, C.S. Mason, A. Hancock, C. Penny, I. Odeyemi, D.J. Bartram, M.J. Haskell
Publikováno v:
Animal, Vol 18, Iss 11, Pp 101215- (2024)
Bovine respiratory disease (BRD) is a major source of morbidity and mortality in calves and detection of the disease can be challenging. Diagnostic tools for BRD are typically based on the assessment of clinical signs. As experience of disease is ass
Externí odkaz:
https://doaj.org/article/422c560658b147a5a14a6ebf75d8784d
Akademický článek
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Autor:
Jahan C. Penny-Dimri, Christoph Bergmeir, Christopher M. Reid, Jenni Williams-Spence, Luke A. Perry, Julian A. Smith
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 10 (2023)
ObjectivesMachine learning (ML) classification tools are known to accurately predict many cardiac surgical outcomes. A novel approach, ML-based survival analysis, remains unstudied for predicting mortality after cardiac surgery. We aimed to benchmark
Externí odkaz:
https://doaj.org/article/effa75fa8f08419190e09bdfbbf158eb
Autor:
Dev Raveendran, Jahan C. Penny-Dimri, Reny Segal, Julian A. Smith, Mark Plummer, Zhengyang Liu, Luke A. Perry
Publikováno v:
Journal of Cardiothoracic Surgery, Vol 17, Iss 1, Pp 1-13 (2022)
Abstract Background Hyperbilirubinemia following cardiac surgery is a common phenomenon and is of emerging interest in prognostic factor research. This systematic review and meta-analysis evaluated the association between post-operative hyperbilirubi
Externí odkaz:
https://doaj.org/article/012998bb0b7d4f07af25aa815083cc2f
Autor:
D.J. Bell, B. Vigors, C.-A. Duthie, D.J. Bartram, A. Hancock, I. Odeyemi, C. Penny, M.J. Haskell
Publikováno v:
Animal, Vol 17, Iss 2, Pp 100702- (2023)
Bovine respiratory disease (BRD) is a major welfare and productivity issue for calves. Despite the extensive negative impacts on calf welfare and performance, BRD remains challenging to detect and treat effectively. However, the clinical signs of dis
Externí odkaz:
https://doaj.org/article/f953285a62294083a6bf4336bf3d006a
Autor:
Jahan C. Penny-Dimri, Christoph Bergmeir, Christopher M. Reid, Jenni Williams-Spence, Andrew D. Cochrane, Julian A. Smith
Publikováno v:
PLoS ONE, Vol 18, Iss 8 (2023)
Machine learning (ML) is increasingly applied to predict adverse postoperative outcomes in cardiac surgery. Commonly used ML models fail to translate to clinical practice due to absent model explainability, limited uncertainty quantification, and no
Externí odkaz:
https://doaj.org/article/252e1402ff084724ba6be8da30456c7c
Autor:
Zhengyang Liu, MD(Distinct), BBiomed, Luke A. Perry, MBBS(Hons), BSc, Jahan C. Penny-Dimri, MBBS(Hons), BHlthSc(Hons), LLB(Hons), Michael Handscombe, MD, BSc, Isabella Overmars, BSc, Mark Plummer, MBBS, PhD, FCICM, Reny Segal, MBChB, FANZCA, Julian A. Smith, MBBS, MS, MSurgEd, FRACS, FCSANZ, FFSTRCSEd, FAICD
Publikováno v:
Transplantation Direct, Vol 8, Iss 1, p e1261 (2022)
Background. Cardiac troponin is a highly specific and widely available marker of myocardial injury, and elevations in cardiac transplant donors may influence donor selection. We aimed to investigate whether elevated donor troponin has a role as a pro
Externí odkaz:
https://doaj.org/article/19675d94fc994fa196cefb790102c0f2
Autor:
Roshan Karri, Yi-Ping Phoebe Chen, Aidan J C Burrell, Jahan C Penny-Dimri, Tessa Broadley, Tony Trapani, Adam M Deane, Andrew A Udy, Mark P Plummer, SPRINT-SARI Australia Investigators
Publikováno v:
PLoS ONE, Vol 17, Iss 10, p e0276509 (2022)
Objective(s)To use machine learning (ML) to predict short-term requirements for invasive ventilation in patients with COVID-19 admitted to Australian intensive care units (ICUs).DesignA machine learning study within a national ICU COVID-19 registry i
Externí odkaz:
https://doaj.org/article/f20dd83515bb4b9f8e7f23d448d04e8e
Autor:
M Labuschaigne, A Dhai, S Mahomed, K Behrens, A Nienaber, K Moodley, P Cleaton-Jones, A Olckers, N Maepa, C Penny
Publikováno v:
South African Medical Journal, Vol 109, Iss 5, Pp 353-356 (2019)
The need to transfer human biological materials (HBMs) across national boundaries has become increasingly important in view of increased biobank and commercial activities globally. In light of South Africa (SA)’s history of colonisation and ra
Externí odkaz:
https://doaj.org/article/2468c23c4aeb47fc8b417a048b5d5a4a