Dr Evangelia KYRIMI
Dr Evangelia KYRIMI
Lecturer in AI and Data Science at QMUL, Royal Academy of Engineering Research Fellow
Verified email at
Cited by
Cited by
Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
V Baptiste, N Myura, C Bruce, C David A, C Gary S, D Spiros, D Alastair K, ...
Nature Medicine 28, 924–933, 2022
Bayesian networks in healthcare: Distribution by medical condition
S McLachlan, K Dube, GA Hitman, NE Fenton, E Kyrimi
Artificial intelligence in medicine 107, 101912, 2020
A comprehensive scoping review of Bayesian networks in healthcare: Past, present and future
E Kyrimi, S McLachlan, K Dube, MR Neves, A Fahmi, N Fenton
Artificial Intelligence in Medicine 117, 102108, 2021
Medical idioms for clinical Bayesian network development
E Kyrimi, MR Neves, S McLachlan, M Neil, W Marsh, N Fenton
Journal of biomedical informatics 108, 103495, 2020
Combined ultrasound and Sestamibi scintigraphy provides accurate preoperative localisation for patients with primary hyperparathyroidism
S Scattergood, M Marsden, E Kyrimi, H Ishii, S Doddi, P Sinha
Annals of the royal college of surgeons of England 101 (2), 2018
Bayesian networks in healthcare: What is preventing their adoption?
E Kyrimi, K Dube, N Fenton, A Fahmi, MR Neves, W Marsh, S McLachlan
Artificial Intelligence in Medicine 116, 102079, 2021
A privacy-preserving Bayesian network model for personalised COVID19 risk assessment and contact tracing
NE Fenton, S McLachlan, P Lucas, K Dube, GA Hitman, M Osman, ...
MedRxiv, 2020.07. 15.20154286, 2020
The fundamental limitations of COVID-19 contact tracing methods and how to resolve them with a Bayesian network approach
S McLachlan, P Lucas, K Dube, GA Hitman, M Osman, E Kyrimi, M Neil, ...
An incremental explanation of inference in Bayesian networks for increasing model trustworthiness and supporting clinical decision making
E Kyrimi, S Mossadegh, N Tai, W Marsh
Artificial intelligence in medicine 103, 101812, 2020
The thorny problems of Covid-19 Contact Tracing Apps: The need for a holistic approach
M Osman, N Fenton, S McLachlan, P Lucas, K Dube, G Hitman, L Kyrimi, ...
Journal of Behavioral Economics for Policy 4 (S), 57-61, 2020
Bluetooth Smartphone Apps: Are they the most private and effective solution for COVID-19 contact tracing?
S McLachlan, P Lucas, K Dube, GA Hitman, M Osman, E Kyrimi, M Neil, ...
arXiv preprint arXiv:2005.06621, 2020
Towards standardisation of evidence-based clinical care process specifications
S McLachlan, E Kyrimi, K Dube, G Hitman, J Simmonds, N Fenton
Health informatics journal 26 (4), 2512-2537, 2020
Spatial and temporal variations of childhood cancers: Literature review and contribution of the French national registry
S Goujon, E Kyrimi, L Faure, S Guissou, D Hémon, B Lacour, J Clavel
Cancer medicine 7 (10), 5299-5314, 2018
A progressive explanation of inference in ‘hybrid’Bayesian networks for supporting clinical decision making
E Kyrimi, W Marsh
Conference on Probabilistic Graphical Models, 275-286, 2016
Causal bayesian networks for medical diagnosis: A case study in rheumatoid arthritis
A Fahmi, A MacBrayne, E Kyrimi, S McLachlan, F Humby, W Marsh, ...
2020 IEEE International Conference on Healthcare Informatics (ICHI), 1-7, 2020
Bayesian Networks in Healthcare: the chasm between research enthusiasm and clinical adoption
E Kyrimi, S McLachlan, K Dube, N Fenton
medRxiv, 2020.06. 04.20122911, 2020
Clinical Caremap Development: How can caremaps standardise care when they are not standardised?
S McLachlan, E Kyrimi, N Fenton, K Dube
Diagnostic accuracy of clinical examination to identify life-and limb-threatening injuries in trauma patients
JM Wohlgemut, MER Marsden, RS Stoner, E Pisirir, E Kyrimi, G Grier, ...
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine 31 (1), 18, 2023
Real-time online probabilistic medical computation using bayesian networks
S Mclachlan, H Paterson, K Dube, E Kyrimi, E Dementiev, M Neil, ...
2020 IEEE International Conference on Healthcare Informatics (ICHI), 1-8, 2020
LAGOS: learning health systems and how they can integrate with patient care
S McLachlan, K Dube, E Kyrimi, N Fenton
BMJ Health & Care Informatics 26 (1), 2019
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