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Research
  1. Queen Mary University of London
  2. Research
  3. Publications

Publications: DR Lina Kyrimi

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Marsden MER, Perkins ZB, Pisirir E, Marsh W, Kyrimi E, Rossetto A, Lyon RL, Weaver A et al. ( 2025 ) . Early clinical evaluation of a machine-learning system for risk prediction of trauma-induced coagulopathy in the prehospital setting . Emergency Medicine Journal vol. 42 , ( 10 ) 654 - 661 .
McLachlan S, Daley BJ, Saidi S, Kyrimi E, Dube K, Grosan C, Neil M ( 2025 ) . A Bayesian Network model of pregnancy outcomes for England and Wales . Computers in Biology and Medicine vol. 189 ,
Kyrimi E, McLachlan S, Wohlgemut JM, Perkins ZB, Lagnado DA, Marsh W ( 2025 ) . Explainable AI: definition and attributes of a good explanation for health AI . AI and Ethics vol. 5 , ( 4 ) 3883 - 3896 .
Kyrimi E, Mossadegh S, Wohlgemut JM, Stoner RS, Tai NRM, Marsh W ( 2024 ) . Counterfactual reasoning using causal Bayesian networks as a healthcare governance tool . International Journal of Medical Informatics vol. 193 ,
Wohlgemut JM, Pisirir E, Stoner RS, Perkins ZB, Marsh W, Tai NRM, Kyrimi E ( 2024 ) . A scoping review, novel taxonomy and catalogue of implementation frameworks for clinical decision support systems . BMC Medical Informatics and Decision Making vol. 24 , ( 1 )
Kyrimi E, McLachlan S, Wohlgemut JM, Perkins ZB, Lagnado DA, Marsh W, Group TEE ( 2024 ) . Explainable AI: Definition and attributes of a good explanation for health AI .
Wohlgemut JM, Pisirir E, Stoner RS, Kyrimi E, Yet B, Marsh W, Perkins ZB, Tai NRM ( 2024 ) . Bayesian networks may allow better performance and usability than logistic regression . Critical Care vol. 28 , ( 1 )
Wohlgemut JM, Pisirir E, Stoner RS, Kyrimi E, Christian M, Hurst T, Marsh W, Perkins ZB et al. ( 2024 ) . Identification of major hemorrhage in trauma patients in the prehospital setting: diagnostic accuracy and impact on outcome . Trauma Surgery & Acute Care Open vol. 9 , ( 1 )
McLachlan S, Daley B, Saidi S, Kyrimi E, Dube K, Grossan C, Neil M ( 2024 ) . Approach and Method for Bayesian Network Modelling: The Case for Pregnancy Outcomes in England and Wales . Conference: Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies604 - 612 .
Kyrimi E, Stoner RS, Perkins ZB, Pisirir E, Wohlgemut JM, Marsh W, Tai NRM ( 2023 ) . Updating and recalibrating causal probabilistic models on a new target population . Journal of Biomedical Informatics vol. 149 ,
Tandle S, Wohlgemut JM, Marsden MER, Pisirir E, Kyrimi E, Stoner RS, Marsh W, Perkins ZB et al. ( 2023 ) . Enhancing the clinical relevance of haemorrhage prediction models in trauma . Military Medical Research vol. 10 , ( 1 )
Wohlgemut JM, Pisirir E, Kyrimi E, Stoner RS, Marsh W, Perkins ZB, Tai NRM ( 2023 ) . Methods used to evaluate usability of mobile clinical decision support systems for healthcare emergencies: a systematic review and qualitative synthesis . JAMIA Open vol. 6 , ( 3 )
Pisirir E, Wohlgemut JM, Kyrimi E, Stoner RS, Perkins ZB, Tai NRM, Marsh DWR ( 2023 ) . A Process for Evaluating Explanations for Transparent and Trustworthy AI Prediction Models . Conference: 2023 IEEE 11th International Conference on Healthcare Informatics (ICHI) vol. 00 , 388 - 397 .
Wohlgemut JM, Marsden MER, Stoner RS, Pisirir E, Kyrimi E, Grier G, Christian M, Hurst T et al. ( 2023 ) . Diagnostic accuracy of clinical examination to identify life- and limb-threatening injuries in trauma patients . Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine vol. 31 , ( 1 )
Vasey B, Campbell B, Clifton DA, Collins GS, Denaxas S, Denniston AK, Faes L, Geerts B et al. ( 2022 ) . Publisher Correction: Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI . Nature Medicine vol. 28 , ( 10 ) 2218 - 2218 .
McLachlan S, Schafer B, Dube K, Kyrimi E ( 2022 ) . Tempting the Fate of the furious: cyber security and autonomous cars . International Review of Law Computers & Technology vol. 36 , ( 2 ) 181 - 201 .
Vasey B, Nagendran M, Campbell B, Clifton DA, Collins GS, Denaxas S, Denniston AK, Faes L et al. ( 2022 ) . Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI . The BMJ vol. 377 ,
Vasey B, Nagendran M, Campbell B, Clifton DA, Collins GS, Denniston AK, Faes L, Geerts B et al. ( 2022 ) . Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI . Nature Medicine vol. 28 , ( 5 ) 924 - 933 .
McLachlan S, Kyrimi E, Dube K, Fenton N ( 2022 ) . The Self-Driving Car: Crossroads at the Bleeding Edge of Artificial Intelligence and Law .
McLachlan S, Kyrimi E, Fenton N ( 2022 ) . Lawmaps: enabling legal AI development through visualisation of the implicit structure of legislation and lawyerly process . Artificial Intelligence and Law vol. 31 , ( 1 ) 169 - 194 .
Kyrimi E, Mossadegh S, Marsden ME, Fenton N, Perkins Z, Tai N, Marsh W ( 2022 ) . Capturing the Progression of Acute Conditions and the Dynamics of Clinical Decision-Making Using Bayesian Networks .
Wohlgemut JM, Kyrimi E, Stoner RS, Pisirir E, Marsh W, Perkins ZB, Tai NRM ( 2021 ) . The outcome of a prediction algorithm should be a true patient state rather than an available surrogate . Journal of Vascular Surgery vol. 75 , ( 4 ) 1495 - 1496 .
Kyrimi E, McLachlan S, Dube K, Neves MR, Fenton N ( 2021 ) . A comprehensive scoping review of Bayesian networks in healthcare: Past, present and future . Artificial Intelligence in Medicine vol. 117 ,
Kyrimi E, Dube K, Fenton N, Fahmi A, Neves MR, Marsh W, McLachlan S ( 2021 ) . Bayesian networks in healthcare: What is preventing their adoption? . Artificial Intelligence in Medicine vol. 116 ,
Fahmi A, MacBrayne A, Kyrimi E, McLachlan S, Humby F, Marsh W, Pitzalis C ( 2020 ) . Causal Bayesian Networks for Medical Diagnosis: A Case Study in Rheumatoid Arthritis . Conference: 2020 IEEE International Conference on Healthcare Informatics (ICHI) vol. 00 , 1 - 7 .
Mclachlan S, Kyrimi E, Daley BJ, Dube K, Marsden M, Finer S, Hitman GA, Fenton NE ( 2020 ) . Incorporating Clinical Decisions into Standardised Caremaps . Conference: 2020 IEEE International Conference on Healthcare Informatics (ICHI) vol. 00 , 1 - 2 .
Mclachlan S, Paterson H, Dube K, Kyrimi E, Neil M, Daley BJ ( 2020 ) . Real-time Online Probabilistic Medical Computation using Bayesian Networks . Conference: 2020 IEEE International Conference on Healthcare Informatics (ICHI) vol. 00 , 1 - 8 .
Dube K, McLachlan S, Zanamwe N ( 2020 ) . Managing Knowledge in Computational Models for Global Food, Nutrition and Health Technologies . Conference: 2020 IEEE Global Humanitarian Technology Conference (GHTC) vol. 00 , 1 - 8 .
Kyrimi E, Neves MR, McLachlan S, Neil M, Marsh W, Fenton N ( 2020 ) . Medical idioms for clinical Bayesian network development . Journal of Biomedical Informatics vol. 108 ,
Daley BJ, Kyrimi E, Dube K, Fenton NE ( 2020 ) . Data Visualisation in Midwifery: The Challenge of Seeing what Datasets Hide . Studies in health technology and informatics vol. 270 , 1239 - 1240 .
McLachlan S, Dube K, Hitman GA ( 2020 ) . Bayesian networks in healthcare: Distribution by medical condition . Artificial Intelligence in Medicine vol. 107 ,
Dube K, Zanamwe N, Kyrimi E, Thomson JS ( 2020 ) . Managing Knowledge in Computational Models for Global Food, Nutrition and Health Technologies .
McLachlan S, Lucas P, Dube K, Hitman GA, Osman M, Kyrimi E ( 2020 ) . Bluetooth Smartphone Apps: Are they the most private and effective solution for COVID-19 contact tracing? .
McLachlan S, Kyrimi E ( 2020 ) . Standardising Clinical Caremaps: Model, Method and Graphical Notation for Caremap Specification . Communications in Computer and Information Science . vol. 1211 , 429 - 452 .
McLachlan S, Kyrimi E, Dube K, Hitman G ( 2020 ) . Towards standardisation of evidence-based clinical care process specifications . Health Informatics Journal vol. 26 , ( 4 ) 2512 - 2537 .
McLachlan S, Kyrimi E ( 2020 ) . Public Authorities as Defendants: Using Bayesian Networks to determine the Likelihood of Success for Negligence claims in the wake of Oakden .
Kyrimi E, Mossadegh S, Tai N, Marsh W ( 2020 ) . An incremental explanation of inference in Bayesian networks for increasing model trustworthiness and supporting clinical decision making . Artificial Intelligence in Medicine vol. 103 ,
McLachlan S, Dube K, Kyrimi E ( 2019 ) . LAGOS: learning health systems and how they can integrate with patient care . BMJ Health & Care Informatics vol. 26 , ( 1 )
McLachlan S, Kyrimi E, Dube K ( 2019 ) . Clinical Caremap Development: How Can Caremaps Standardise Care When They Are Not Standardised? . Conference: Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies123 - 134 .
Scattergood S, Marsden M, Kyrimi E, Doddi S ( 2018 ) . Combined ultrasound and Sestamibi scintigraphy provides accurate preoperative localisation for patients with primary hyperparathyroidism . Annals of The Royal College of Surgeons of England vol. 101 , ( 2 ) 97 - 102 .
Goujon S, Kyrimi E, Faure L, Guissou S, Hémon D ( 2018 ) . Spatial and temporal variations of childhood cancers: Literature review and contribution of the French national registry . Cancer Medicine vol. 7 , ( 10 ) 5299 - 5314 .
MARSH DWR, Kyrimi E . A Progressive Explanation of Inference in ‘Hybrid’ Bayesian Networks for Supporting Clinical Decision Making . International Conference on Probabilistic Graphical Models . Conference: Conference on Probabilistic Graphical Models ( Lugano, Switzerland ) from: 06/09/2016 to: 09/09/2016 , vol. 52 , 275 - 286 .
( 2016 ) . SARS Abstracts . British Journal of Surgery . vol. 103 , 6 - 49 .
Kyrimi E ( 2015 ) . Méthodes de détection d’excès localisés d’incidence des leucémies de l’enfant . Revue d'Epidémiologie et de Santé Publique vol. 63 , ( 2 )
Fenton NE, McLachlan S, Lucas P, Dube K, Hitman GA, Osman M, Kyrimi E, Neil M . A privacy-preserving Bayesian network model for personalised COVID19 risk assessment and contact tracing .
McLachlan S, Daley BJ, Saidi S, Kyrimi E, Dube K, Grosan C, Neil M, Rose L et al. . Approach and Method for Bayesian Network Modelling: A Case Study in Pregnancy Outcomes for England and Wales .
Kyrimi E, McLachlan S, Dube K, Fenton N . Bayesian Networks in Healthcare: the chasm between research enthusiasm and clinical adoption .
McLachlan S, Daley BJ, Dube K, Kyrimi E, Neil M, Fenton NE . The Health Condition Timeline as a Model for Pregnancy Disease Management .
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