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

TL;DR

This paper reviews Bayesian network models in healthcare decision making, identifies publicly available models and datasets, and evaluates a causal interventional analysis software tool through experimental application.

Contribution

It provides a systematic review of existing models and datasets, and evaluates a software tool for causal analysis in healthcare Bayesian networks.

Findings

Identification of suitable models and datasets for causal analysis

Evaluation results of the software tool on selected models

Preliminary insights into software effectiveness in healthcare decision support

Abstract

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.