| A systematic review of clinical decision support systems for antimicrobial management: are we failing to investigate these interventions appropriately? TM Rawson, LSP Moore, B Hernandez, E Charani, E Castro-Sanchez, ... Clinical Microbiology and Infection 23 (8), 524-532, 2017 | 219 | 2017 |
| Mapping the decision pathways of acute infection management in secondary care among UK medical physicians: a qualitative study TM Rawson, E Charani, LSP Moore, B Hernandez, E Castro-Sánchez, ... BMC medicine 14 (1), 208, 2016 | 69 | 2016 |
| Predicting quality of overnight glycaemic control in type 1 diabetes using binary classifiers A Güemes, G Cappon, B Hernandez, M Reddy, N Oliver, P Georgiou, ... IEEE journal of biomedical and health informatics 24 (5), 1439-1446, 2019 | 66 | 2019 |
| Supervised learning for infection risk inference using pathology data B Hernandez, P Herrero, TM Rawson, LSP Moore, B Evans, C Toumazou, ... BMC medical informatics and decision making 17 (1), 168, 2017 | 55 | 2017 |
| A real-world evaluation of a case-based reasoning algorithm to support antimicrobial prescribing decisions in acute care TM Rawson, B Hernandez, LSP Moore, P Herrero, E Charani, D Ming, ... Clinical Infectious Diseases 72 (12), 2103-2111, 2021 | 54 | 2021 |
| Supervised machine learning for the prediction of infection on admission to hospital: a prospective observational cohort study TM Rawson, B Hernandez, LSP Moore, O Blandy, P Herrero, M Gilchrist, ... Journal of Antimicrobial Chemotherapy 74 (4), 1108-1115, 2019 | 54 | 2019 |
| Patient engagement with infection management in secondary care: a qualitative investigation of current experiences TM Rawson, LSP Moore, B Hernandez, E Castro-Sanchez, E Charani, ... BMJ open 6 (10), e011040, 2016 | 30 | 2016 |
| Supervised machine learning to support the diagnosis of bacterial infection in the context of COVID-19 TM Rawson, B Hernandez, RC Wilson, D Ming, P Herrero, ... JAC-antimicrobial resistance 3 (1), dlab002, 2021 | 29 | 2021 |
| Informing antimicrobial management in the context of COVID-19: understanding the longitudinal dynamics of C-reactive protein and procalcitonin DK Ming, AC Myall, B Hernandez, AY Weiße, RL Peach, M Barahona, ... BMC infectious diseases 21 (1), 932, 2021 | 27 | 2021 |
| Development of a patient-centred intervention to improve knowledge and understanding of antibiotic therapy in secondary care TM Rawson, LSP Moore, E Castro-Sanchez, E Charani, B Hernandez, ... Antimicrobial Resistance & Infection Control 7 (1), 43, 2018 | 27 | 2018 |
| Applied machine learning for the risk-stratification and clinical decision support of hospitalised patients with dengue in Vietnam DK Ming, B Hernandez, S Sangkaew, NL Vuong, PK Lam, NM Nguyet, ... PLOS digital health 1 (1), e0000005, 2022 | 23 | 2022 |
| Machine learning and synthetic outcome estimation for individualised antimicrobial cessation WJ Bolton, TM Rawson, B Hernandez, R Wilson, D Antcliffe, P Georgiou, ... Frontiers in Digital Health 4, 997219, 2022 | 20 | 2022 |
| The diagnosis of dengue in patients presenting with acute febrile illness using supervised machine learning and impact of seasonality DK Ming, NM Tuan, B Hernandez, S Sangkaew, NL Vuong, HQ Chanh, ... Frontiers in digital health 4, 849641, 2022 | 20 | 2022 |
| Data-driven web-based intelligent decision support system for infection management at point-of-care: case-based reasoning benefits and limitations B Hernandez, P Herrero, TM Rawson, LSP Moore, E Charani, AH Holmes, ... International Conference on Health Informatics 6, 119-127, 2017 | 18 | 2017 |
| Towards a machine-learning assisted non-invasive classification of dengue severity using wearable PPG data: a prospective clinical study S Karolcik, V Manginas, HQ Chanh, J Daniels, NT Giang, VNT Huyen, ... EBioMedicine 104, 2024 | 14 | 2024 |
| Applying artificial intelligence and digital health technologies, Viet Nam HQ Chanh, DK Ming, QH Nguyen, TM Duc, LP An, HT Trieu, S Karolcik, ... Bulletin of the World Health Organization 101 (7), 487, 2023 | 14 | 2023 |
| vital_sqi: A Python package for physiological signal quality control VKD Le, HB Ho, S Karolcik, B Hernandez, H Greeff, VH Nguyen, ... Frontiers in Physiology 13, 1020458, 2022 | 13 | 2022 |
| Resistance trend estimation using regression analysis to enhance antimicrobial surveillance: a multi-centre study in London 2009–2016 B Hernandez, P Herrero-Viñas, TM Rawson, LSP Moore, AH Holmes, ... Antibiotics 10 (10), 1267, 2021 | 13 | 2021 |
| Advances in diagnosis and prognosis of bacteraemia, bloodstream infection, and sepsis using machine learning: A comprehensive living literature review B Hernandez, DK Ming, TM Rawson, W Bolton, R Wilson, V Vasikasin, ... Artificial Intelligence in Medicine 160, 103008, 2025 | 9 | 2025 |
| Data-driven web-based intelligent decision support system for infection management at point of care BH Perez Imperial College London, 2019 | 7 | 2019 |
Pantelis GeorgiouImperial College LondonVerified email at imperial.ac.uk
