Evangelia Kyrimi

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 26

Top Topics

Observable Variables

Probabilistic Modeling

Computational Models

Clinical Decision Making

Top Venues

Artif. Intell. Medicine

J. Biomed. Informatics

Publications

Scott McLachlan, Bridget J. Daley, Sam Saidi, Evangelia Kyrimi, Kudakwashe Dube, Crina Grossan, Martin Neil, Louise Rose, Norman E. Fenton
Approach and Method for Bayesian Network Modelling: The Case for Pregnancy Outcomes in England and Wales. BIOSTEC (2) (2024)
Evangelia Kyrimi, Rebecca S. Stoner, Zane B. Perkins, Erhan Pisirir, Jared M. Wohlgemut, William Marsh, Nigel R. M. Tai
Updating and recalibrating causal probabilistic models on a new target population. J. Biomed. Informatics 149 (2024)
Scott McLachlan, Evangelia Kyrimi, Kudakwashe Dube, Norman E. Fenton, Lisa C. Webley
Lawmaps: enabling legal AI development through visualisation of the implicit structure of legislation and lawyerly process. Artif. Intell. Law 31 (1) (2023)
Erhan Pisirir, Jared M. Wohlgemut, Evangelia Kyrimi, Rebecca S. Stoner, Zane B. Perkins, Nigel R. M. Tai, D. William R. Marsh
A Process for Evaluating Explanations for Transparent and Trustworthy AI Prediction Models. ICHI (2023)
Scott McLachlan, Evangelia Kyrimi, Kudakwashe Dube, Norman E. Fenton, Burkhard Schafer
The Self-Driving Car: Crossroads at the Bleeding Edge of Artificial Intelligence and Law. CoRR (2022)
Evangelia Kyrimi, Kudakwashe Dube, Norman E. Fenton, Ali Fahmi, Mariana Raniere Neves, William Marsh, Scott McLachlan
Bayesian networks in healthcare: What is preventing their adoption? Artif. Intell. Medicine 116 (2021)
Evangelia Kyrimi, Scott McLachlan, Kudakwashe Dube, Mariana R. Neves, Ali Fahmi, Norman E. Fenton
A comprehensive scoping review of Bayesian networks in healthcare: Past, present and future. Artif. Intell. Medicine 117 (2021)
Scott McLachlan, Evangelia Kyrimi, Kudakwashe Dube, Norman E. Fenton, Lisa Webley
Lawmaps: Enabling Legal AI development through Visualisation of the Implicit Structure of Legislation and Lawyerly Process. CoRR (2020)
Scott McLachlan, Kudakwashe Dube, Graham A. Hitman, Norman E. Fenton, Evangelia Kyrimi
Bayesian Networks in Healthcare: Distribution by Medical Condition. CoRR (2020)
Scott McLachlan, Peter Lucas, Kudakwashe Dube, Graham A. Hitman, Magda Osman, Evangelia Kyrimi, Martin Neil, Norman E. Fenton
Bluetooth Smartphone Apps: Are they the most private and effective solution for COVID-19 contact tracing? CoRR (2020)
Evangelia Kyrimi, Mariana Raniere Neves, Scott McLachlan, Martin Neil, William Marsh, Norman E. Fenton
Medical idioms for clinical Bayesian network development. J. Biomed. Informatics 108 (2020)
Scott McLachlan, Haydn Paterson, Kudakwashe Dube, Evangelia Kyrimi, Eugene Dementiev, Martin Neil, Bridget J. Daley, Graham A. Hitman, Norman E. Fenton
Real-time Online Probabilistic Medical Computation using Bayesian Networks. ICHI (2020)
Ali Fahmi, Amy MacBrayne, Evangelia Kyrimi, Scott McLachlan, Frances Humby, William Marsh, Costantino Pitzalis
Causal Bayesian Networks for Medical Diagnosis: A Case Study in Rheumatoid Arthritis. ICHI (2020)
Scott McLachlan, Evangelia Kyrimi, Bridget J. Daley, Kudakwashe Dube, Max Marsden, Sarah Finer, Graham A. Hitman, Norman E. Fenton
Incorporating Clinical Decisions into Standardised Caremaps. ICHI (2020)
Evangelia Kyrimi, Scott McLachlan, Kudakwashe Dube, Mariana R. Neves, Ali Fahmi, Norman E. Fenton
A Comprehensive Scoping Review of Bayesian Networks in Healthcare: Past, Present and Future. CoRR (2020)
Bridget J. Daley, Evangelia Kyrimi, Kudakwashe Dube, Norman E. Fenton, Graham A. Hitman, Scott McLachlan
Data Visualisation in Midwifery: The Challenge of Seeing what Datasets Hide. MIE (2020)
Scott McLachlan, Evangelia Kyrimi, Norman E. Fenton
Public Authorities as Defendants: Using Bayesian Networks to determine the Likelihood of Success for Negligence claims in the wake of Oakden. CoRR (2020)
Scott McLachlan, Evangelia Kyrimi, Kudakwashe Dube, Graham A. Hitman, Jennifer A. Simmonds, Norman E. Fenton
Towards standardisation of evidence-based clinical care process specifications. Health Informatics J. 26 (4) (2020)
Evangelia Kyrimi, Somayyeh Mossadegh, Nigel Tai, William Marsh
An incremental explanation of inference in Bayesian networks for increasing model trustworthiness and supporting clinical decision making. Artif. Intell. Medicine 103 (2020)
Evangelia Kyrimi, Mariana Raniere Neves, Scott McLachlan, Martin Neil, William Marsh, Norman E. Fenton
Medical idioms for clinical Bayesian network development. CoRR (2020)
Kudakwashe Dube, Scott McLachlan, Ngonidzashe Zanamwe, Evangelia Kyrimi, Jasmine S. Thomson, Norman E. Fenton
Managing Knowledge in Computational Models for Global Food, Nutrition and Health Technologies. GHTC (2020)
Scott McLachlan, Kudakwashe Dube, Graham A. Hitman, Norman E. Fenton, Evangelia Kyrimi
Bayesian networks in healthcare: Distribution by medical condition. Artif. Intell. Medicine 107 (2020)
Evangelia Kyrimi, Somayyeh Mossadegh, Nigel Tai, William Marsh
An Incremental Explanation of Inference in Hybrid Bayesian Networks for Increasing Model Trustworthiness and Supporting Clinical Decision Making. CoRR (2020)
Scott McLachlan, Evangelia Kyrimi, Kudakwashe Dube, Norman E. Fenton
Standardising Clinical Caremaps: Model, Method and Graphical Notation for Caremap Specification. BIOSTEC (Selected Papers) (2019)
Scott McLachlan, Evangelia Kyrimi, Kudakwashe Dube, Norman E. Fenton
Clinical Caremap Development: How Can Caremaps Standardise Care When They Are Not Standardised? HEALTHINF (2019)
Evangelia Kyrimi, William Marsh
A Progressive Explanation of Inference in 'Hybrid' Bayesian Networks for Supporting Clinical Decision Making. Probabilistic Graphical Models (2016)