Bayesian Network Models of Causal Interventions in Healthcare Decision Making: Literature Review and Software Evaluation
Velikzhanin, Artem, Wang, Benjie, Kwiatkowska, Marta
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Nov-28-2022
- Country:
- Asia (0.67)
- Europe > United Kingdom
- England (0.28)
- North America > United States (0.68)
- Genre:
- Overview (1.00)
- Research Report
- Experimental Study (1.00)
- New Finding (1.00)
- Industry:
- Health & Medicine
- Health Care Providers & Services (1.00)
- Pharmaceuticals & Biotechnology (1.00)
- Public Health (0.93)
- Therapeutic Area
- Neurology > Dementia (0.46)
- Psychiatry/Psychology (1.00)
- Endocrinology (0.69)
- Pulmonary/Respiratory Diseases (0.94)
- Nephrology (0.94)
- Immunology (1.00)
- Cardiology/Vascular Diseases (1.00)
- Oncology (1.00)
- Infections and Infectious Diseases (1.00)
- Health & Medicine