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Scientific Reports|August 21, 2023
Predicting acute clinical deterioration with interpretable machine learning to support emergency care decision makingStelios Boulitsakis Logothetis, Darren Green, Mark Holland, et al.
Internal and Emergency Medicine|January 15, 2025
The variable relationship between the National Early Warning Score on admission to hospital, the primary discharge diagnosis, and in-hospital mortalityMark Holland, John Kellett, Stelios Boulitsakis-Logothetis, et al.
BMJ Health & Care Informatics|December 4, 2024
Performance of machine learning versus the national early warning score for predicting patient deterioration risk: a single-site study of emergency admissionsMatthew Watson, Stelios Boulitsakis Logothetis, Darren Green, et al.
The Lancet. Diabetes & Endocrinology|June 24, 2026
Whole-population trends in obesity across dimensions of inequality in England, 2019-25: a retrospective, longitudinal cohort study of 54 million adultsRobert A Fletcher, Nathalie Conrad, Patrick Rockenschaub, et al.
European Journal of Preventive Cardiology|March 28, 2026
Using population-wide electronic health records for timely contemporary assessment of cardiovascular disease risk prediction model performance: COVID-19 impact on the SCORE2 modelsCarmen Petitjean, Spencer J Keene, Thomas Bolton, et al.
The Lancet. Public Health|November 1, 2024
Contemporary epidemiology of hospitalised heart failure with reduced versus preserved ejection fraction in England: a retrospective, cohort study of whole-population electronic health recordsRobert A Fletcher, Patrick Rockenschaub, Brendon L Neuen, et al.
European Heart Journal|June 5, 2026
Predicting lifetime cardiovascular risk and benefits of preventive treatment in patients with established atherosclerotic cardiovascular disease: the SMART-REACH2 modelJoris Holtrop, Mari N Gynnild, Salil V Deo, et al.
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