Evangelia Kyrimi

30 papers Journal 20Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Bayesian Network model of pregnancy outcomes for England and Wales. Comput. Biol. Medicine Scott McLachlan, Bridget J. Daley, Sam Saidi, Evangelia Kyrimi, Kudakwashe Dube, Crina Grosan, Martin Neil, Louise Rose, Norman E. Fenton
2025	J	`jnl`	Counterfactual reasoning using causal Bayesian networks as a healthcare governance tool. Int. J. Medical Informatics Evangelia Kyrimi, Somayyeh Mossadegh, Jared M. Wohlgemut, Rebecca S. Stoner, Nigel R. M. Tai, William Marsh
2025	J	`jnl`	Explainable AI: definition and attributes of a good explanation for health AI. AI Ethics Evangelia Kyrimi, Scott McLachlan, Jared M. Wohlgemut, Zane B. Perkins, David A. Lagnado, William Marsh, Alexander Gimson, Ali Shafti, Ari Ercole, Amitava Banerjee, Ben Glocker, Burkhard Schafer, Constantine Gatsonis, Crina Grosan, Danielle Sent, David S. Berman, David Glass, Declan P. O'Regan, Dimitrios Letsios, Dylan Morrissey, Erhan Pisirir, Francesco Leofante, Hamit Soyel, Jon Williamson, Keri Grieman, Kudakwashe Dube, Max Marsden, Myura Nagendran, Nigel Tai, Olga Kostopoulou, Owain Jones, Paul Curzon, Rebecca S. Stoner, Sankalp Tandle, Shalmali Joshi, Somayyeh Mossadegh, Stefan Buijsman, Tim Miller, Vince Istvan Madai
2024	—	`conf`	Approach and Method for Bayesian Network Modelling: The Case for Pregnancy Outcomes in England and Wales. BIOSTEC (2) Scott McLachlan, Bridget J. Daley, Sam Saidi, Evangelia Kyrimi, Kudakwashe Dube, Crina Grosan, Martin Neil, Louise Rose, Norman E. Fenton
2024	J	`jnl`	Explainable AI: Definition and attributes of a good explanation for health AI. CoRR Evangelia Kyrimi, Scott McLachlan, Jared M. Wohlgemut, Zane B. Perkins, David A. Lagnado, William Marsh, ExAIDSS Expert Group
2024	J	`jnl`	Updating and recalibrating causal probabilistic models on a new target population. J. Biomed. Informatics Evangelia Kyrimi, Rebecca S. Stoner, Zane B. Perkins, Erhan Pisirir, Jared M. Wohlgemut, William Marsh, Nigel R. M. Tai
2023	—	`conf`	A Process for Evaluating Explanations for Transparent and Trustworthy AI Prediction Models. ICHI Erhan Pisirir, Jared M. Wohlgemut, Evangelia Kyrimi, Rebecca S. Stoner, Zane B. Perkins, Nigel R. M. Tai, D. William R. Marsh
2023	J	`jnl`	Lawmaps: enabling legal AI development through visualisation of the implicit structure of legislation and lawyerly process. Artif. Intell. Law Scott McLachlan, Evangelia Kyrimi, Kudakwashe Dube, Norman E. Fenton, Lisa C. Webley
2022	J	`jnl`	The Self-Driving Car: Crossroads at the Bleeding Edge of Artificial Intelligence and Law. CoRR Scott McLachlan, Evangelia Kyrimi, Kudakwashe Dube, Norman E. Fenton, Burkhard Schafer
2021	J	`jnl`	A comprehensive scoping review of Bayesian networks in healthcare: Past, present and future. Artif. Intell. Medicine Evangelia Kyrimi, Scott McLachlan, Kudakwashe Dube, Mariana R. Neves, Ali Fahmi, Norman E. Fenton
2021	J	`jnl`	Bayesian networks in healthcare: What is preventing their adoption? Artif. Intell. Medicine Evangelia Kyrimi, Kudakwashe Dube, Norman E. Fenton, Ali Fahmi, Mariana Raniere Neves, William Marsh, Scott McLachlan
2020	J	`jnl`	A Comprehensive Scoping Review of Bayesian Networks in Healthcare: Past, Present and Future. CoRR Evangelia Kyrimi, Scott McLachlan, Kudakwashe Dube, Mariana R. Neves, Ali Fahmi, Norman E. Fenton
2020	J	`jnl`	An Incremental Explanation of Inference in Hybrid Bayesian Networks for Increasing Model Trustworthiness and Supporting Clinical Decision Making. CoRR Evangelia Kyrimi, Somayyeh Mossadegh, Nigel Tai, William Marsh
2020	J	`jnl`	An incremental explanation of inference in Bayesian networks for increasing model trustworthiness and supporting clinical decision making. Artif. Intell. Medicine Evangelia Kyrimi, Somayyeh Mossadegh, Nigel Tai, William Marsh
2020	J	`jnl`	Bayesian Networks in Healthcare: Distribution by Medical Condition. CoRR Scott McLachlan, Kudakwashe Dube, Graham A. Hitman, Norman E. Fenton, Evangelia Kyrimi
2020	J	`jnl`	Bayesian networks in healthcare: Distribution by medical condition. Artif. Intell. Medicine Scott McLachlan, Kudakwashe Dube, Graham A. Hitman, Norman E. Fenton, Evangelia Kyrimi
2020	J	`jnl`	Bluetooth Smartphone Apps: Are they the most private and effective solution for COVID-19 contact tracing? CoRR Scott McLachlan, Peter Lucas, Kudakwashe Dube, Graham A. Hitman, Magda Osman, Evangelia Kyrimi, Martin Neil, Norman E. Fenton
2020	—	`conf`	Causal Bayesian Networks for Medical Diagnosis: A Case Study in Rheumatoid Arthritis. ICHI Ali Fahmi, Amy MacBrayne, Evangelia Kyrimi, Scott McLachlan, Frances Humby, William Marsh, Costantino Pitzalis
2020	—	`conf`	Data Visualisation in Midwifery: The Challenge of Seeing what Datasets Hide. MIE Bridget J. Daley, Evangelia Kyrimi, Kudakwashe Dube, Norman E. Fenton, Graham A. Hitman, Scott McLachlan
2020	—	`conf`	Incorporating Clinical Decisions into Standardised Caremaps. ICHI Scott McLachlan, Evangelia Kyrimi, Bridget J. Daley, Kudakwashe Dube, Max Marsden, Sarah Finer, Graham A. Hitman, Norman E. Fenton
2020	J	`jnl`	Lawmaps: Enabling Legal AI development through Visualisation of the Implicit Structure of Legislation and Lawyerly Process. CoRR Scott McLachlan, Evangelia Kyrimi, Kudakwashe Dube, Norman E. Fenton, Lisa C. Webley
2020	—	`conf`	Managing Knowledge in Computational Models for Global Food, Nutrition and Health Technologies. GHTC Kudakwashe Dube, Scott McLachlan, Ngonidzashe Zanamwe, Evangelia Kyrimi, Jasmine S. Thomson, Norman E. Fenton
2020	J	`jnl`	Medical idioms for clinical Bayesian network development. CoRR Evangelia Kyrimi, Mariana Raniere Neves, Scott McLachlan, Martin Neil, William Marsh, Norman E. Fenton
2020	J	`jnl`	Medical idioms for clinical Bayesian network development. J. Biomed. Informatics Evangelia Kyrimi, Mariana Raniere Neves, Scott McLachlan, Martin Neil, William Marsh, Norman E. Fenton
2020	J	`jnl`	Public Authorities as Defendants: Using Bayesian Networks to determine the Likelihood of Success for Negligence claims in the wake of Oakden. CoRR Scott McLachlan, Evangelia Kyrimi, Norman E. Fenton
2020	—	`conf`	Real-time Online Probabilistic Medical Computation using Bayesian Networks. ICHI Scott McLachlan, Haydn Paterson, Kudakwashe Dube, Evangelia Kyrimi, Eugene Dementiev, Martin Neil, Bridget J. Daley, Graham A. Hitman, Norman E. Fenton
2020	J	`jnl`	Towards standardisation of evidence-based clinical care process specifications. Health Informatics J. Scott McLachlan, Evangelia Kyrimi, Kudakwashe Dube, Graham A. Hitman, Jennifer A. Simmonds, Norman E. Fenton
2019	—	`conf`	Clinical Caremap Development: How Can Caremaps Standardise Care When They Are Not Standardised? HEALTHINF Scott McLachlan, Evangelia Kyrimi, Kudakwashe Dube, Norman E. Fenton
2019	—	`conf`	Standardising Clinical Caremaps: Model, Method and Graphical Notation for Caremap Specification. BIOSTEC (Selected Papers) Scott McLachlan, Evangelia Kyrimi, Kudakwashe Dube, Norman E. Fenton
2016	—	`conf`	A Progressive Explanation of Inference in 'Hybrid' Bayesian Networks for Supporting Clinical Decision Making. Probabilistic Graphical Models Evangelia Kyrimi, William Marsh