55 citations · 68 across the 8 of their papers we have counts for
7 papers · 1 filter
Lawmaps: Enabling Legal AI development through Visualisation of the Implicit Structure of Legislation and Lawyerly Process
Scott McLachlan, Evangelia Kyrimi, Kudakwashe Dube +2
Modelling that exploits visual elements and information visualisation are important areas that have contributed immensely to understanding and the computerisation advancements in m…
Medical idioms for clinical Bayesian network development
Evangelia Kyrimi, Mariana Raniere Neves, Scott McLachlan +3
Bayesian Networks (BNs) are graphical probabilistic models that have proven popular in medical applications. While numerous medical BNs have been published, most are presented fait…
Bluetooth Smartphone Apps: Are they the most private and effective solution for COVID-19 contact tracing?
Scott McLachlan, Peter Lucas, Kudakwashe Dube +5
Many digital solutions mainly involving Bluetooth technology are being proposed for Contact Tracing Apps (CTA) to reduce the spread of COVID-19. Concerns have been raised regarding…
An Incremental Explanation of Inference in Hybrid Bayesian Networks for Increasing Model Trustworthiness and Supporting Clinical Decision Making
Evangelia Kyrimi, Somayyeh Mossadegh, Nigel Tai +1
Various AI models are increasingly being considered as part of clinical decision-support tools. However, the trustworthiness of such models is rarely considered. Clinicians are mor…
A Comprehensive Scoping Review of Bayesian Networks in Healthcare: Past, Present and Future
Evangelia Kyrimi, Scott McLachlan, Kudakwashe Dube +3
No comprehensive review of Bayesian networks (BNs) in healthcare has been published in the past, making it difficult to organize the research contributions in the present and ident…
Bayesian Networks in Healthcare: Distribution by Medical Condition
Scott McLachlan, Kudakwashe Dube, Graham A Hitman +2
Bayesian networks (BNs) have received increasing research attention that is not matched by adoption in practice and yet have potential to significantly benefit healthcare. Hitherto…