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Publications

PARADISE (Statistical Analysis Plan): Predicting Atrial Fibrillation after Cardiac Surgery - the PARADISE Score. A Clinical Prediction Rule for Postoperative Atrial Fibrillation in Patients Undergoing Cardiac Surgery

REDFERN O. et al, (2024)

Safer and more efficient vital signs monitoring protocols to identify the deteriorating patients in the general hospital ward: an observational study.

Briggs J. et al, (2024), Health Soc Care Deliv Res, 12, 1 - 143

COVID pandemic impact on hypertension management in North-East London: an observational cohort study using electronic health records

Rison SCG. et al, (2023)

Inequities in hypertension management: observational cross-sectional study in North East London using electronic health records

Rison S. et al, (2023), British Journal of General Practice, BJGP.2023.0077 - BJGP.2023.0077

Safer and more efficient vital signs monitoring to identify the deteriorating patient: An observational study towards deriving evidence-based protocols for patient surveillance on the general hospital ward

WATKINSON P., (2023), Safer and more efficient vital signs monitoring to identify the deteriorating patient: An observational study towards deriving evidence-based protocols for patient surveillance on the general hospital ward

Outlier detection of vital sign trajectories from COVID-19 patients.

Summerton S. et al, (2023), Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2023, 1 - 4

Opportunities to improve nutrition delivery in hospital after discharge from an intensive care unit: A mixed methods analysis

Vollam S. et al, (2023)

Inequities in hypertension management: an observational cross-sectional study in North-East London using electronic health records

Rison S. et al, (2023)

Contactless skin perfusion monitoring with video cameras: tracking pharmacological vasoconstriction and vasodilation using photoplethysmographic changes

Harford M. et al, (2022), Physiological Measurement, 43, 115001 - 115001

Protocol describing a systematic review and mixed methods consensus process to define the deteriorated ward patient

Malycha J. et al, (2022), BMJ Open, 12, e057614 - e057614

Statistical analysis plan: Development and validation of prediction models for new-onset atrial fibrillation in patients admitted to an intensive care unit

Bedford J., (2022)

New-onset atrial fibrillation in intensive care: epidemiology and outcomes

Bedford JP. et al, (2022), European Heart Journal. Acute Cardiovascular Care

Artificial intelligence and clinical deterioration

Malycha J. et al, (2022), Current Opinion in Critical Care, 28, 315 - 321

Multivariable prediction models for atrial fibrillation after cardiac surgery: a systematic review protocol

Bedford J. et al, (2022)

Evaluation of a digital system to predict unplanned admissions to the intensive care unit: A mixed-methods approach

Malycha J. et al, (2022), Resuscitation Plus, 9, 100193 - 100193

Circadian variation in new-onset atrial fibrillation in patients in ICUs

Bedford JP. et al, (2022), Journal of Critical Care, 67, 1 - 2

Two-stage Classification for Detecting Murmurs from Phonocardiograms Using Deep and Expert Features

Summerton S. et al, (2022), Computing in Cardiology, 2022-September

OPTIC-19: Statistical Analysis Plan

REDFERN O. et al, (2021)

Comparative effectiveness of common treatments for new-onset atrial fibrillation within the ICU: accounting for physiological status

Bedford J. et al, (2021), Journal of Critical Care

The haemodynamic changes associated with treatment of new-onset atrial fibrillation with amiodarone or beta blockers

Bedford J. et al, (2021)

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