Evangelia Kyrimi

Orcid: 0000-0001-6727-2279

According to our database1, Evangelia Kyrimi authored at least 22 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Updating and recalibrating causal probabilistic models on a new target population.
J. Biomed. Informatics, January, 2024

Approach and Method for Bayesian Network Modelling: The Case for Pregnancy Outcomes in England and Wales.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies, 2024

2023
Lawmaps: enabling legal AI development through visualisation of the implicit structure of legislation and lawyerly process.
Artif. Intell. Law, March, 2023

A Process for Evaluating Explanations for Transparent and Trustworthy AI Prediction Models.
Proceedings of the 11th IEEE International Conference on Healthcare Informatics, 2023

2022
The Self-Driving Car: Crossroads at the Bleeding Edge of Artificial Intelligence and Law.
CoRR, 2022

2021
A comprehensive scoping review of Bayesian networks in healthcare: Past, present and future.
Artif. Intell. Medicine, 2021

Bayesian networks in healthcare: What is preventing their adoption?
Artif. Intell. Medicine, 2021

2020
Medical idioms for clinical Bayesian network development.
J. Biomed. Informatics, 2020

Towards standardisation of evidence-based clinical care process specifications.
Health Informatics J., 2020

Bluetooth Smartphone Apps: Are they the most private and effective solution for COVID-19 contact tracing?
CoRR, 2020

An Incremental Explanation of Inference in Hybrid Bayesian Networks for Increasing Model Trustworthiness and Supporting Clinical Decision Making.
CoRR, 2020

Public Authorities as Defendants: Using Bayesian Networks to determine the Likelihood of Success for Negligence claims in the wake of Oakden.
CoRR, 2020

Bayesian networks in healthcare: Distribution by medical condition.
Artif. Intell. Medicine, 2020

An incremental explanation of inference in Bayesian networks for increasing model trustworthiness and supporting clinical decision making.
Artif. Intell. Medicine, 2020

Data Visualisation in Midwifery: The Challenge of Seeing what Datasets Hide.
Proceedings of the Digital Personalized Health and Medicine - Proceedings of MIE 2020, Medical Informatics Europe, Geneva, Switzerland, April 28, 2020

Incorporating Clinical Decisions into Standardised Caremaps.
Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020

Real-time Online Probabilistic Medical Computation using Bayesian Networks.
Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020

Causal Bayesian Networks for Medical Diagnosis: A Case Study in Rheumatoid Arthritis.
Proceedings of the 8th IEEE International Conference on Healthcare Informatics, 2020

Managing Knowledge in Computational Models for Global Food, Nutrition and Health Technologies.
Proceedings of the IEEE Global Humanitarian Technology Conference, 2020

2019
Standardising Clinical Caremaps: Model, Method and Graphical Notation for Caremap Specification.
Proceedings of the Biomedical Engineering Systems and Technologies, 2019

Clinical Caremap Development: How Can Caremaps Standardise Care When They Are Not Standardised?
Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2019), 2019

2016
A Progressive Explanation of Inference in 'Hybrid' Bayesian Networks for Supporting Clinical Decision Making.
Proceedings of the Probabilistic Graphical Models - Eighth International Conference, 2016


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