| 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 | 165 | 2021 |
| 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 | 117 | 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 | 96 | 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 | 89 | 2020 |
| The stability of multitrophic communities under habitat loss C McWilliams, M Lurgi, JM Montoya, A Sauve, D Montoya Nature Communications 10 (1), 2322, 2019 | 58 | 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 | 26 | 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, ... The Journal of Infection 82 (6), e24, 2021 | 22 | 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, 1460, 2019 | 12 | 2019 |
| Explainable hierarchical clustering for patient subtyping and risk prediction E Werner, JN Clark, A Hepburn, RS Bhamber, M Ambler, CP Bourdeaux, ... Experimental Biology and Medicine 248 (24), 2547-2559, 2023 | 7 | 2023 |
| Requirements for a bespoke intensive care unit dashboard in response to the COVID-19 pandemic: semistructured interview study B Davidson, KM Ferrer Portillo, M Wac, C McWilliams, C Bourdeaux, ... JMIR human factors 9 (2), e30523, 2022 | 6 | 2022 |
| Identification, Explanation and Clinical Evaluation of Hospital Patient Subtypes E Werner, JN Clark, RS Bhamber, M Ambler, CP Bourdeaux, A Hepburn, ... Artificial Intelligence for Personalized Medicine: Promoting Healthy Living …, 2023 | 5 | 2023 |
| Capturing requirements for a data annotation tool for intensive care: Experimental user-centered design study M Wac, R Santos-Rodriguez, C McWilliams, C Bourdeaux JMIR Human Factors 12 (1), e56880, 2025 | 4 | 2025 |
| CATS: Cloud-native time-series data annotation tool for intensive care M Wac, R Santos-Rodriguez, C McWilliams, C Bourdeaux SoftwareX 24, 101593, 2023 | 3 | 2023 |
| Design and evaluation of an intensive care unit dashboard built in response to the COVID-19 pandemic: semistructured interview study M Wac, I Craddock, S Chantziara, T Campbell, R Santos-Rodriguez, ... JMIR Human Factors 10, e49438, 2023 | 3 | 2023 |
| A call from patient-researchers to advance research on long COVID ML Fitzgerald, AK Cohen, TW Jaudon, JM Vogel, AN Koppes, L Santos, ... Cell 187 (20), 5490-5496, 2024 | 2 | 2024 |
| Counterfactual Explanations via Locally-guided Sequential Algorithmic Recourse EA Small, JN Clark, CJ McWilliams, K Sokol, J Chan, FD Salim, ... arXiv preprint arXiv:2309.04211, 2023 | 2 | 2023 |
| Evaluation of a data annotation platform for large, time-series datasets in intensive care: Mixed methods study M Wac, R Santos-Rodriguez, C McWilliams, C Bourdeaux arXiv preprint arXiv:2410.16959, 2024 | 1 | 2024 |
| Long COVID and associated outcomes following COVID-19 reinfections: Insights from an International Patient-Led Survey L Soares, G Assaf, L McCorkell, H Davis, A Cohen, J Moen, L Shoemaker, ... Research Square, 2024 | 1 | 2024 |
| Strategies for engaging clinical participants in the co-design of software for healthcare domains M Wac, R Santos-Rodriguez, C McWilliams, C Bourdeaux arXiv preprint arXiv:2308.16631, 2023 | 1 | 2023 |
| Conventional and Bayesian workflows for clinical prediction modelling of severe Covid-19 outcomes based on clinical biomarker test results: LabMarCS: Laboratory Markers of … B Sullivan, E Barker, P Williams, L MacGregor, R Bhamber, M Thomas, ... | 1 | 2023 |
