Chris McWilliams
Cited by
Cited by
Information transfer by leaky, heterogeneous, protein kinase signaling systems
M Voliotis, RM Perrett, C McWilliams, CA McArdle, CG Bowsher
Proceedings of the National Academy of Sciences 111 (3), E326-E333, 2014
Evaluation and improvement of the National Early Warning Score (NEWS2) for COVID-19: a multi-hospital study
E Carr, R Bendayan, D Bean, M Stammers, W Wang, H Zhang, T Searle, ...
BMC medicine 19 (1), 1-16, 2021
Towards a decision support tool for intensive care discharge: machine learning algorithm development using electronic healthcare data from MIMIC-III and Bristol, UK
CJ McWilliams, DJ Lawson, R Santos-Rodriguez, ID Gilchrist, ...
BMJ open 9 (3), e025925, 2019
COVID-19 scenario modelling for the mitigation of capacity-dependent deaths in intensive care
RM Wood, CJ McWilliams, MJ Thomas, CP Bourdeaux, C Vasilakis
Health care management science 23 (3), 315-324, 2020
The stability of multitrophic communities under habitat loss
C McWilliams, M Lurgi, JM Montoya, A Sauve, D Montoya
Nature Communications 10 (1), 1-11, 2019
The value of triage during periods of intense COVID-19 demand: Simulation modeling study
RM Wood, AC Pratt, C Kenward, CJ McWilliams, RD Booton, MJ Thomas, ...
Medical Decision Making 41 (4), 393-407, 2021
The dynamics of procalcitonin in COVID-19 patients admitted to Intensive care unit-a multi-centre cohort study in the South West of England, UK.
P Williams, C McWilliams, K Soomro, I Harding, S Gurney, M Thomas, ...
Journal of Infection 82 (6), e24-e26, 2021
Curation of an intensive care research dataset from routinely collected patient data in an NHS trust.
C McWilliams, J Inoue, P Wadey, G Palmer, R Santos-Rodriguez, ...
F1000Research 8, 2019
COVID-19 scenario modelling for the mitigation of capacity-dependent deaths in intensive care: computer simulation study
RM Wood, CJ McWilliams, MJ Thomas, CP Bourdeaux, C Vasilakis
medRxiv, 2020
Requirements for a Bespoke Intensive Care Unit Dashboard in Response to the COVID-19 Pandemic: Semistructured Interview Study
B Davidson, KMF Portillo, M Wac, C McWilliams, C Bourdeaux, ...
JMIR Human Factors 9 (2), e30523, 2022
Requirements for bespoke ICU Dashboard in response to the COVID-19 Pandemic.
B Davidson, FP KM, M Wac, C McWilliams, C Bourdeaux, I Craddock
JMIR Human Factors, 2022
Bayesian Prediction of Severe Outcomes in the LabMarCS: Laboratory Markers of COVID-19 Severity-Bristol Cohort
B Sullivan, E Barker, P Williams, L MacGregor, R Bhamber, M Thomas, ...
medRxiv, 2022
Supporting Patient Nutrition in Critical Care Units
K Soomro, E Pimenidis, C McWilliams
International Conference on Engineering Applications of Neural Networks, 128-136, 2022
Predicting cause of death from free-text health summaries: development of an interpretable machine learning tool
C McWilliams, EI Walsh, A Huxor, EL Turner, R Santos-Rodriguez
medRxiv, 2021
User-centric design of a clinical decision support system for critical care treatment optimisation.
CJ McWilliams, IG Gilchrist, MJ Thomas, T Gould, RS Rodriguez, ...
Proceedings DSRS-Turing’19. London, 21-22nd Nov, 2019, 2019
Habitat loss and species interactions
Habitat loss and species interaction: an in silico investigation of the structure and dynamics of ecological communities
C McWilliams
University of Bristol, 2016
Tangible Networks: A toolkit for exploring network science
E Knoop, E Barter, AEM Villafranca, A Matyjaszkiewicz, C McWilliams, ...
Proceedings of ECCS 2014, 33-43, 2016
Sustainable Scotland: putting environmental justice at the heart of the policy agenda?
E McDowell, C McWilliams
WIT Transactions on Ecology and the Environment 93, 2006
A machine learning approach to intensive care discharge.
CJ McWilliams, DJ Lawson, R Santos-Rodriguez, ID Gilchrist, ...
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