# Bayesian Network Models of Causal Interventions in Healthcare Decision Making: Literature Review and Software Evaluation

arXiv: https://arxiv.org/abs/2211.15258 · HTML: https://mlsanity.com/paper/2211.15258/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 2 of its 51 references that are in the map.
- First posted on arXiv 28 Nov 2022.

## Builds on (most cited first, 2 of 2)

- [A Comprehensive Scoping Review of Bayesian Networks in Healthcare: Past, Present and Future](https://mlsanity.com/paper/2002.08627/) (2020)
- [Provable Guarantees on the Robustness of Decision Rules to Causal Interventions](https://mlsanity.com/paper/2105.09108/) (2021)

## Abstract (arXiv)

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.