Publications: Dr Evangelia Kyrimi

McLachlan S, Kyrimi E, Dube K, Fenton N, Webley LC ( 2023 ) . 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 .

Wohlgemut JM, Kyrimi E, Stoner RS, Pisirir E, Marsh W, Perkins ZB, Tai NRM ( 2022 ) . 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 .

McLachlan S, Kyrimi E, Dube K, Fenton N, Schafer B ( 2022 ) . The Self-Driving Car: Crossroads at the Bleeding Edge of Artificial Intelligence and Law .

McLachlan S, Schafer B, Dube K, Kyrimi E, Fenton N ( 2022 ) . Tempting the Fate of the furious: cyber security and autonomous cars . International Review of Law, Computers and Technology vol. 36 , ( 2 ) 181 - 201 .

Kyrimi E, McLachlan S, Dube K, Neves MR, Fahmi A, 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 . 2020 IEEE International Conference on Healthcare Informatics, ICHI 2020 .

McLachlan S, Kyrimi E, Daley BJ, Dube K, Marsden M, Finer S, Hitman GA, Fenton NE ( 2020 ) . Incorporating Clinical Decisions into Standardised Caremaps . 2020 IEEE International Conference on Healthcare Informatics, ICHI 2020 .

McLachlan S, Paterson H, Dube K, Kyrimi E, Dementiev E, Neil M, Daley BJ, Hitman GA et al. ( 2020 ) . Real-Time Online Probabilistic Medical Computation using Bayesian Networks . 2020 IEEE International Conference on Healthcare Informatics, ICHI 2020 .

Dube K, McLachlan S, Zanamwe N, Kyrimi E, Thomson JS, Fenton N ( 2020 ) . Managing Knowledge in Computational Models for Global Food, Nutrition and Health Technologies . 2020 IEEE Global Humanitarian Technology Conference, GHTC 2020 .

Kyrimi E, Raniere Neves M, Mclachlan S, Neil M, Marsh W, Fenton N ( 2020 ) . Medical idioms for clinical Bayesian network development . Journal of Biomedical Informatics

Daley BJ, Kyrimi E, Dube K, Fenton NE, Hitman GA, McLachlan S ( 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, Fenton NE, Kyrimi E ( 2020 ) . Bayesian networks in healthcare: Distribution by medical condition . Artificial Intelligence in Medicine vol. 107 , Article 101912 , 101912 - 101912 .

Dube K, McLachlan S, Zanamwe N, Kyrimi E, Thomson J, Fenton N ( 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, Neil M, Fenton NE ( 2020 ) . Bluetooth Smartphone Apps: Are they the most private and effective solution for COVID-19 contact tracing? .

McLachlan S, Kyrimi E, Dube K, Fenton N ( 2020 ) . Standardising Clinical Caremaps: Model, Method and Graphical Notation for Caremap Specification . Communications in Computer and Information Science . Conference: 2th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019) - Volume 5: HEALTHINF ( Prague ) from: 22/02/2019 to: 24/02/2019 , vol. 1211 CCIS , 429 - 452 .

McLachlan S, Kyrimi E, Dube K, Hitman G, Simmonds J, Fenton N ( 2020 ) . Towards standardisation of evidence-based clinical care process specifications . Health Informatics Journal

McLachlan S, Kyrimi E, Fenton N ( 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, Fenton N ( 2019 ) . LAGOS: Learning Health Systems and how they can integrate with patient care . BMJ: Health & Care Informatics

MCLACHLAN S, KYRIMI E, FENTON N, Dube K ( 2019 ) . Clinical Caremap Development: How can caremaps standardise care when they are not standardised? . Conference: HEALTHINF 2019 ( Prague, Czech ) from: 22/02/2019 to: 24/02/2019 ,

Scattergood S, Marsden M, Kyrimi E, Ishii H, Doddi S, Sinha P ( 2019 ) . 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, Lacour B, Clavel J ( 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 .

Mossadegh S, Kyrimi E, Marsh W, Tai N ( 2016 ) . Implementation science: a Bayesian prediction tool for acute traumatic coagulopathy . British Journal of Surgery . Conference: Society of Academic and Research Surgery Annual Meeting vol. 103 , 39 - 39 .

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 )