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Bayesian Networks in Healthcare: Distribution by Medical Condition
Bayesian networks (BNs) have received increasing research attention that is not matched by adoption in practice and yet have potential to significantly benefit healthcare.
Public Authorities as Defendants: Using Bayesian Networks to determine the Likelihood of Success for Negligence claims in the wake of Oakden
Several countries are currently investigating issues of neglect, poor quality care and abuse in the aged care sector.
A Comprehensive Scoping Review of Bayesian Networks in Healthcare: Past, Present and Future
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 identify challenges and neglected areas that need to be addressed in the future.
An Incremental Explanation of Inference in Hybrid Bayesian Networks for Increasing Model Trustworthiness and Supporting Clinical Decision Making
Key to this is if its underlying reasoning can be explained.
Medical idioms for clinical Bayesian network development
We refer to the proposed medical reasoning patterns as medical idioms.
The Self-Driving Car: Crossroads at the Bleeding Edge of Artificial Intelligence and Law
Artificial intelligence (AI) features are increasingly being embedded in cars and are central to the operation of self-driving cars (SDC).
