# Product safety idioms: a method for building causal Bayesian networks for product safety and risk assessment

arXiv: https://arxiv.org/abs/2206.02144 · HTML: https://mlsanity.com/paper/2206.02144/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 3 of its 48 references that are in the map.
- First posted on arXiv 5 Jun 2022.

## Builds on (most cited first, 3 of 3)

- [Object-Oriented Bayesian Networks](https://mlsanity.com/paper/1302.1554/) (2013)
- [Medical idioms for clinical Bayesian network development](https://mlsanity.com/paper/2007.00364/) (2020)
- [Network Fragments: Representing Knowledge for Constructing Probabilistic Models](https://mlsanity.com/paper/1302.1557/) (2013)

## Built on by (most cited first, 1 of 1)

- [A hybrid Bayesian network for medical device risk assessment and management](https://mlsanity.com/paper/2209.03352/) (2022)

## Abstract (arXiv)

Idioms are small, reusable Bayesian network (BN) fragments that represent generic types of uncertain reasoning. This paper shows how idioms can be used to build causal BNs for product safety and risk assessment that use a combination of data and knowledge. We show that the specific product safety idioms that we introduce are sufficient to build full BN models to evaluate safety and risk for a wide range of products. The resulting models can be used by safety regulators and product manufacturers even when there are limited (or no) product testing data.