| 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 | 99 | 2014 |
| 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 | 18 | 2019 |
| 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 | 10 | 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 | 3 | 2020 |
| 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 | 3 | 2020 |
| 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 | 3 | 2019 |
| 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 | | 2019 |
| A machine learning approach to intensive care discharge CJ McWilliamsD, DJ Lawson, R Santos-Rodriguez, ID Gilchrist, ... bioRxiv, 404533, 2018 | | 2018 |
| Tangible Networks: A Toolkit for Exploring Network Science E Knoop, E Barter, AEM de Villafranca, A Matyjaszkiewicz, C McWilliams, ... Proceedings of ECCS 2014, 33-43, 2016 | | 2016 |
