Zobrazeno 1 - 10
of 25
pro vyhledávání: '"James, McNicholas"'
Autor:
Max Foxley-Marrable, Leon D'Cruz, Paul Meredith, Sharon Glaysher, Angela H Beckett, Salman Goudarzi, Christopher Fearn, Kate F Cook, Katie F Loveson, Hannah Dent, Hannah Paul, Scott Elliott, Sarah Wyllie, Allyson Lloyd, Kelly Bicknell, Sally Lumley, James McNicholas, David Prytherch, COVID-19 Genomics UK (COG-UK) consortium, Andrew Lundgren, Or Graur, Anoop J Chauhan, Samuel C Robson
Publikováno v:
PLoS ONE, Vol 18, Iss 3, p e0283447 (2023)
Throughout the COVID-19 pandemic, valuable datasets have been collected on the effects of the virus SARS-CoV-2. In this study, we combined whole genome sequencing data with clinical data (including clinical outcomes, demographics, comorbidity, treatm
Externí odkaz:
https://doaj.org/article/67d0fea1984a4bc7aa69d8ab028fd92b
Publikováno v:
BMC Public Health, Vol 19, Iss 1, Pp 1-9 (2019)
Abstract Background The National Early Warning Score (NEWS/NEWS 2) has been adopted across the National Health Service (NHS) in the U.K. as a method of escalating care for deteriorating patients. Intensive Care Unit (ICU) resources are limited and in
Externí odkaz:
https://doaj.org/article/dc05081d852d41ebba8587b42431410a
Publikováno v:
Journal of ISAKOS. 7:118-131
Sports injuries, trauma and the globally ageing and obese population require increasing levels of knee surgery. Shared decision making has replaced the paternalistic approach to patient management. Evidence-based medicine underpins surgical treatment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1daed648a8c2cb499c1f0c26986329e0
https://doi.org/10.1136/jisakos-2021-000625
https://doi.org/10.1136/jisakos-2021-000625
Autor:
Sarah E Reisman, Ryan Hadt, Jakub Chalupský, Nathanael Kazmierczak, Daniel B?m, Brendon James McNicholas, Raymond Turro, Zhengjia Tong
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc2cf06a5a5b6d9b13cc5a1fe26b8ed3
https://doi.org/10.1021/scimeetings.3c01317
https://doi.org/10.1021/scimeetings.3c01317
Publikováno v:
Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d22699cbf40675629f0090f0a6e2f580
https://doi.org/10.5220/0011926000003414
https://doi.org/10.5220/0011926000003414
Autor:
Aaron, Tustin, Yusef, Sayeed, Manijeh, Berenji, Kathleen, Fagan, Ronda B, McCarthy, Judith, Green-McKenzie, James, McNicholas, Charles Babajide, Onigbogi, William Brett, Perkison, James W, Butler
Publikováno v:
Journal of occupational and environmental medicine. 63(10)
High ambient temperatures and strenuous physical activity put workers at risk for a variety of heat-related illnesses and injuries. Through primary prevention, secondary prevention, and treatment, OEM health providers can protect workers from the adv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::42a2caed956acfb794f49e9e5782d2e6
https://pubmed.ncbi.nlm.nih.gov/34597285
https://pubmed.ncbi.nlm.nih.gov/34597285
Publikováno v:
Cartilage Injury of the Knee ISBN: 9783030780500
Due to its unique structure, the knee can perform simultaneous combinations of movements in different planes. Stability is a prerequisite for multiplanar movement without causing damage to the joint. While the knee bony structure lacks internal stabi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f6f9ec2ddbf9d60a8ff336ce5fa290d8
https://doi.org/10.1007/978-3-030-78051-7_16
https://doi.org/10.1007/978-3-030-78051-7_16
Publikováno v:
Awad, A, Bader-El-Den, M, McNicholas, J & Briggs, J 2017, ' Early hospital mortality prediction of intensive care unit patients using an ensemble learning approach ', International Journal of Medical Informatics, vol. 108, pp. 185-195 . https://doi.org/10.1016/j.ijmedinf.2017.10.002
Background - Mortality prediction of hospitalized patients is an important problem. Over the past few decades, several severity scoring systems and machine learning mortality prediction models have been developed for predicting hospital mortality. By
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e297ce20b244a86b5871194da42c8a6
https://doi.org/10.1016/j.ijmedinf.2017.10.002
https://doi.org/10.1016/j.ijmedinf.2017.10.002