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Scientific Reports|July 31, 2025
Explainable machine learning for predicting ICU mortality in myocardial infarction patients using pseudo-dynamic dataMunib Mesinovic, Peter Watkinson, Tingting Zhu
Journal of the American Medical Informatics Association : JAMIA|November 21, 2024
DySurv: dynamic deep learning model for survival analysis with conditional variational inferenceMunib Mesinovic, Peter Watkinson, Tingting Zhu
NPJ Digital Medicine|January 16, 2026
DynaGraph: interpretable dynamic graph learning for temporal electronic health recordsMunib Mesinovic, Soheila Molaei, Peter Watkinson, et al.
Disability and Health Journal|January 7, 2026
Machine learning to improve analysis of disability in electronic health records: an untapped opportunity for health inequities researchSara Rotenberg, Munib Mesinovic, Eirini-Christina Saloniki, et al.
IEEE Journal of Biomedical and Health Informatics|August 6, 2020
Hospital Admission Location Prediction via Deep Interpretable Networks for the Year-Round Improvement of Emergency Patient CareRasheed El-Bouri, David W Eyre, Peter Watkinson, et al.
Nephron. Clinical Practice|October 12, 2012
Pitfalls in the management of severe hyponatraemiaClare MacEwen, Peter Watkinson
Nursing in Critical Care|September 22, 2007
Blood glucose control in critical care patients - a review of the literaturePenny Parsons, Peter Watkinson
Therapeutic Apheresis and Dialysis : Official Peer-Reviewed Journal of the International Society for Apheresis, the Japanese Society for Apheresis, the Japanese Society for Dialysis Therapy|December 17, 2014
Circuit life versus bleeding risk: the impact of achieved activated partial thromboplastin time versus achieved filtration fractionClare MacEwen, Peter Watkinson, Christopher Winearls
International Journal of Medical Informatics|July 29, 2017
Quantitative metrics for evaluating the phased roll-out of clinical information systemsDavid Wong, Nicolas Wu, Peter Watkinson
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