This report summarises the outcomes of a systematic literature search to identify Bayesian network models used to support decision making in healthcare. After describing the search methodology, the selected research papers are briefly reviewed, with the view to identify publicly available models and datasets that are well suited to analysis using the causal interventional analysis software tool developed in Wang B, Lyle C, Kwiatkowska M (2021). Finally, an experimental evaluation of applying the software on a selection of models is carried out and preliminary results are reported.Comment: 50 pages (19 + 31 Appendix
dissertationliad is a medical diagnostic decision support system with a very large knowledge base (K...
Network meta-analysis can synthesize evidence from studies comparing multiple treatments for the sam...
This thesis investigates the use of Bayesian Networks (BNs), augmented by the Dynamic Dis- cretizati...
Bayesian networks (BNs) are tools for representing expert knowledge or evidence. They are especially...
We describe a method of building a decision support system for clinicians deciding between intervent...
We describe a method of building a decision support system for clinicians deciding between intervent...
PhD thesisBayesian networks have been widely proposed to assist clinical decision making. Their popu...
<div><p>Background</p><p>The grades of recommendation, assessment, development and evaluation (GRADE...
Knowing the cause and effect is important to researchers who are interested in modeling the effects ...
Treatment decision-making in head and neck oncology is gaining complexity by the increasing evidence...
In biomedical domains free text electronic literature is an important resource for knowledge discove...
PhDEvidence based medicine (EBM) is defined as the use of best available evidence for decision makin...
The grades of recommendation, assessment, development and evaluation (GRADE) approach is widely impl...
In patients with major traumatic injuries, early intervention can be lifesaving. However, identifyin...
The growing success of Machine Learning (ML) is making significant improvements to predictive models...
dissertationliad is a medical diagnostic decision support system with a very large knowledge base (K...
Network meta-analysis can synthesize evidence from studies comparing multiple treatments for the sam...
This thesis investigates the use of Bayesian Networks (BNs), augmented by the Dynamic Dis- cretizati...
Bayesian networks (BNs) are tools for representing expert knowledge or evidence. They are especially...
We describe a method of building a decision support system for clinicians deciding between intervent...
We describe a method of building a decision support system for clinicians deciding between intervent...
PhD thesisBayesian networks have been widely proposed to assist clinical decision making. Their popu...
<div><p>Background</p><p>The grades of recommendation, assessment, development and evaluation (GRADE...
Knowing the cause and effect is important to researchers who are interested in modeling the effects ...
Treatment decision-making in head and neck oncology is gaining complexity by the increasing evidence...
In biomedical domains free text electronic literature is an important resource for knowledge discove...
PhDEvidence based medicine (EBM) is defined as the use of best available evidence for decision makin...
The grades of recommendation, assessment, development and evaluation (GRADE) approach is widely impl...
In patients with major traumatic injuries, early intervention can be lifesaving. However, identifyin...
The growing success of Machine Learning (ML) is making significant improvements to predictive models...
dissertationliad is a medical diagnostic decision support system with a very large knowledge base (K...
Network meta-analysis can synthesize evidence from studies comparing multiple treatments for the sam...
This thesis investigates the use of Bayesian Networks (BNs), augmented by the Dynamic Dis- cretizati...