Harris, Steve

Estimating excess 1-year mortality associated with the COVID-19 pandemic according to underlying conditions and age: a population-based cohort study

Banerjee, A., Pasea, L., Harris, S., Gonzalez-Izquierdo, A., Torralbo, A., Shallcross, L., Noursadeghi, M., Pillay, D., Sebire, N., Holmes, C., et al. (2020) · The Lancet

COVID-19 epidemiological studiesCOVID-19 Clinical Research Studies

Cited by 518

Machine learning for real-time aggregated prediction of hospital admission for emergency patients

King, Z., Farrington, J., Utley, M., Kung, E., Elkhodair, S., Harris, S., Sekula, R., Gillham, J., Li, K., & Crowe, S. (2022) · npj Digital Medicine

Machine Learning in HealthcareHealthcare Operations and Scheduling Optimization

Cited by 87

Impact on mortality of prompt admission to critical care for deteriorating ward patients: An instrumental variable analysis using critical care bed strain.

Harris, S., Singer, M., Sanderson, C., Grieve, R., Harrison, D., & Rowan, K. (2018) · Intensive Care Medicine

Emergency and Acute Care StudiesHospital Admissions and Outcomes

Cited by 79

Natural Language Processing for Mimicking Clinical Trial Recruitment in Critical Care: A Semi-Automated Simulation Based on the LeoPARDS Trial

Tissot, H. C., Shah, A. D., Brealey, D., Harris, S., Agbakoba, R., Folarin, A., Romao, L., Roguski, L., Dobson, R., & Asselbergs, F. W. (2020) · IEEE Journal of Biomedical and Health Informatics

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 61

Analysis of Benefit of Intensive Care Unit Transfer for Deteriorating Ward Patients: A Patient-Centered Approach to Clinical Evaluation

Grieve, R., O’Neill, S., Basu, A., Keele, L., Rowan, K. M., & Harris, S. (2019) · JAMA Network Open

Sepsis Diagnosis and TreatmentEmergency and Acute Care Studies

Cited by 31

Data-driven decision support for individualised cardiovascular resuscitation in sepsis: a scoping review and primer for clinicians

Catling, F. J., Nagendran, M., Festor, P., Bien, Z., Harris, S., Faisal, A. A., Gordon, A. C., & Komorowski, M. (2023) · medRxiv

Sepsis Diagnosis and TreatmentMachine Learning in Healthcare

Cited by 3