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Publications

Chest patch for continuous vital-sign monitoring: A clinical validation study during movement and controlled hypoxia. (Preprint)

Morgado Areia C. et al, (2021)

DECIDE-AI: new reporting guidelines to bridge the development-to-implementation gap in clinical artificial intelligence

(2021), Nature Medicine

Detecting Deteriorating Patients in Hospital: Development and Validation of a Novel Scoring System

Pimentel MAF. et al, (2021), American Journal of Respiratory and Critical Care Medicine

Postpartum-Specific Vital Sign Reference Ranges

GREEN L. et al, (2021), Obstetrics and Gynecology

Hospital Admission Location Prediction via Deep Interpretable Networks for the Year-Round Improvement of Emergency Patient Care

El-Bouri R. et al, (2021), IEEE Journal of Biomedical and Health Informatics, 25, 289 - 300

Non-Contact Assessment of Peripheral Artery Haemodynamics Using Infrared Video Thermography

Jorge J. et al, (2021), IEEE Transactions on Biomedical Engineering, 68, 276 - 288

Wearability Testing of Ambulatory Vital Sign Monitoring Devices: Prospective Observational Cohort Study

Areia C. et al, (2020), JMIR mHealth and uHealth, 8, e20214 - e20214

Wearability testing of ambulatory vital sign monitoring devices: a prospective observational cohort study.

Areia C. et al, (2020), JMIR mHealth and uHealth

Smartwatch data help detect COVID-19

Zhu T. et al, (2020), Nature Biomedical Engineering, 4, 1125 - 1127

A UK national survey of prophylactic platelet transfusion thresholds in non‐bleeding, critically ill adults

Shah A. et al, (2020), Transfusion Medicine, 30, 515 - 517

Anxiety, depression and post-traumatic stress disorder management after critical illness: a UK multi-centre prospective cohort study

Hatch R. et al, (2020), Critical Care, 24

Hospital outcomes associated with new-onset atrial fibrillation during ICU admission: A multicentre competing risks analysis

Bedford JP. et al, (2020), Journal of Critical Care, 60, 72 - 78

Implementing a system for the real-time risk assessment of patients considered for intensive care

Dahella SS. et al, (2020), BMC Medical Informatics and Decision Making, 20

Monitoring activity of hip injury patients (MoHIP): a sub-study of the World Hip Trauma Evaluation observational cohort study

Armitage LC. et al, (2020), Pilot and Feasibility Studies, 6

Vital-sign circadian rhythms in patients prior to discharge from an ICU: a retrospective observational analysis of routinely recorded physiological data

Davidson S. et al, (2020), Critical Care, 24

Trajectories of vital signs in patients with COVID-19

Pimentel MAF. et al, (2020), Resuscitation, 156, 99 - 106

Risk of severe COVID-19 disease with ACE inhibitors and angiotensin receptor blockers: cohort study including 8.3 million people

Hippisley-Cox J. et al, (2020), Heart, 106, 1503 - 1511

Using real-time location devices (RTLD) to quantify off-unit adult intensive care registrar workload: a 1-year tertiary NHS hospital prospective observational study

Malycha J. et al, (2020), Journal of Clinical Monitoring and Computing, 34, 805 - 809

Intensive care unit referrals: making decisions

WESTGATE V. et al, (2020)

Student-Teacher Curriculum Learning via Reinforcement Learning:Predicting Hospital Inpatient Admission Location

El-Bouri R. et al, (2020), Proceedings of the 37th International Conference on Machine Learning, Vienna, Austria, PMLR 119, 2020

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