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IEEE Journal of Biomedical and Health Informatics|September 20, 2019
Predicting Quality of Overnight Glycaemic Control in Type 1 Diabetes Using Binary ClassifiersAmparo Guemes, Giacomo Cappon, Bernard Hernandez, et al.
Frontiers in Digital Health|December 8, 2022
Machine learning and synthetic outcome estimation for individualised antimicrobial cessationWilliam J Bolton, Timothy M Rawson, Bernard Hernandez, et al.
Antibiotics (Basel, Switzerland)|October 23, 2021
Resistance Trend Estimation Using Regression Analysis to Enhance Antimicrobial Surveillance: A Multi-Centre Study in London 2009-2016Bernard Hernandez, Pau Herrero-Viñas, Timothy M Rawson, et al.
The Lancet. Digital Health|February 27, 2025
Utilising routinely collected clinical data through time series deep learning to improve identification of bacterial bloodstream infections: a retrospective cohort studyDamien K Ming, Vasin Vasikasin, Timothy M Rawson, et al.
BMC Medical Informatics and Decision Making|December 9, 2017
Supervised learning for infection risk inference using pathology dataBernard Hernandez, Pau Herrero, Timothy Miles Rawson, et al.
BMJ Open|November 2, 2016
Patient engagement with infection management in secondary care: a qualitative investigation of current experiencesTimothy M Rawson, Luke S P Moore, Bernard Hernandez, et al.
BMC Medicine|December 13, 2016
Mapping the decision pathways of acute infection management in secondary care among UK medical physicians: a qualitative studyTimothy Miles Rawson, Esmita Charani, Luke Stephen Prockter Moore, et al.
BMC Infectious Diseases|September 9, 2021
Informing antimicrobial management in the context of COVID-19: understanding the longitudinal dynamics of C-reactive protein and procalcitoninDamien K Ming, Ashleigh C Myall, Bernard Hernandez, et al.
The Journal of Antimicrobial Chemotherapy|December 22, 2025
Artificial intelligence for improving decision-making in bacterial infection management: a narrative reviewAnisia Talianu, Oskar Fraser-Krauss, William Bolton, et al.
Jac-Antimicrobial Resistance|June 30, 2021
Supervised machine learning to support the diagnosis of bacterial infection in the context of COVID-19Timothy M Rawson, Bernard Hernandez, Richard C Wilson, et al.
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