Peter J. Watkinson
Orcid: 0000-0003-1023-3927
According to our database1,
Peter J. Watkinson
authored at least 35 papers
between 2011 and 2024.
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Bibliography
2024
CoRR, 2024
Position: Reinforcement Learning in Dynamic Treatment Regimes Needs Critical Reexamination.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
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
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
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
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
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
IEEE Trans. Reliab., 2014
Predictive Monitoring of Mobile Patients by Combining Clinical Observations With Data From Wearable Sensors.
IEEE J. Biomed. Health Informatics, 2014
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014
2013
IEEE Trans. Biomed. Eng., 2013
Medical Biol. Eng. Comput., 2013
2012
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