Peter J. Watkinson

Orcid: 0000-0003-1023-3927

According to our database1, Peter J. Watkinson authored at least 33 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
DySurv: Dynamic Deep Learning Model for Survival Prediction in the ICU.
CoRR, 2023

Explainable AI for clinical risk prediction: a survey of concepts, methods, and modalities.
CoRR, 2023

XMI-ICU: Explainable Machine Learning Model for Pseudo-Dynamic Prediction of Mortality in the ICU for Heart Attack Patients.
CoRR, 2023

Wearables for continuous patient monitoring on COVID-19 isolation wards.
Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023

2022
Non-contact physiological monitoring of post-operative patients in the intensive care unit.
npj Digit. Medicine, 2022

Learning of Cluster-based Feature Importance for Electronic Health Record Time-series.
Proceedings of the International Conference on Machine Learning, 2022

2021
Hospital Admission Location Prediction via Deep Interpretable Networks for the Year-Round Improvement of Emergency Patient Care.
IEEE J. Biomed. Health Informatics, 2021

Non-Contact Assessment of Peripheral Artery Haemodynamics Using Infrared Video Thermography.
IEEE Trans. Biomed. Eng., 2021

A Real-Time Wearable System for Monitoring Vital Signs of COVID-19 Patients in a Hospital Setting.
Frontiers Digit. Health, 2021

An impedance pneumography signal quality index: Design, assessment and application to respiratory rate monitoring.
Biomed. Signal Process. Control., 2021

2020
Deep Interpretable Early Warning System for the Detection of Clinical Deterioration.
IEEE J. Biomed. Health Informatics, 2020

Implementing a system for the real-time risk assessment of patients considered for intensive care.
BMC Medical Informatics Decis. Mak., 2020

Phenotyping Clusters of Patient Trajectories suffering from Chronic Complex Disease.
CoRR, 2020

Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Non-contact physiological monitoring of preterm infants in the Neonatal Intensive Care Unit.
npj Digit. Medicine, 2019

Patient centred variables with univariate associations with unplanned ICU admission: a systematic review.
BMC Medical Informatics Decis. Mak., 2019

2018
A Robust Fusion Model for Estimating Respiratory Rate From Photoplethysmography and Electrocardiography.
IEEE Trans. Biomed. Eng., 2018

Critical Care Health Informatics Collaborative (CCHIC): Data, tools and methods for reproducible research: A multi-centre UK intensive care database.
Int. J. Medical Informatics, 2018

Point process models for novelty detection on spatial point patterns and their extremes.
Comput. Stat. Data Anal., 2018

2017
Toward a Robust Estimation of Respiratory Rate From Pulse Oximeters.
IEEE Trans. Biomed. Eng., 2017

A ward-based time study of paper and electronic documentation for recording vital sign observations.
J. Am. Medical Informatics Assoc., 2017

Quantitative metrics for evaluating the phased roll-out of clinical information systems.
Int. J. Medical Informatics, 2017

2016
Evaluation of the effects of implementing an electronic early warning score system: protocol for a stepped wedge study.
BMC Medical Informatics Decis. Mak., 2016

Robust estimation of respiratory rate via ECG- and PPG-derived respiratory quality indices.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
SEND: a system for electronic notification and documentation of vital sign observations.
BMC Medical Informatics Decis. Mak., 2015

2014
Probabilistic Novelty Detection With Support Vector Machines.
IEEE Trans. Reliab., 2014

Predictive Monitoring of Mobile Patients by Combining Clinical Observations With Data From Wearable Sensors.
IEEE J. Biomed. Health Informatics, 2014

Physiological trajectory of patients pre and post ICU discharge<sup>1</sup>.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Gaussian Processes for Personalized e-Health Monitoring With Wearable Sensors.
IEEE Trans. Biomed. Eng., 2013

Modelling physiological deterioration in post-operative patient vital-sign data.
Medical Biol. Eng. Comput., 2013

2012
Gaussian process regression in vital-sign early warning systems.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Vital-sign Data Fusion Models for Post-operative Patients.
Proceedings of the BIOSIGNALS 2012, 2012

2011
Identification of Patient Deterioration in Vital-Sign Data using One-Class Support Vector Machines.
Proceedings of the Federated Conference on Computer Science and Information Systems, 2011


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