Modeling Bayesian Networks from a conceptual framework for occupational risk analysis

Abstract

Occupational risk is the possibility that some element included in a particular work environment can cause damage to someone's health. Thereby, the risk is understood as the product of probability and consequences. In this sense, risk analysis through probabilistic stochastic techniques, such as Bayesian networks (BN), becomes an important tool to analyze occupational risks. Thus, this article aims to show how BNs are being used in the field of occupational risk analysis, and to develop a conceptual framework for the construction of the BNs. Therefore, a systematic review analogous to the Statement for Reporting Systematic Reviews (PRISMA) protocol was performed, which allowed the evaluation of learning methods with the BN, building models and also for us propose a conceptual framework for the implementation of BNs in the analysis of occupational risks.