文章基本信息

标题：Modeling Bayesian Networks from a conceptual framework for occupational risk analysis
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作者：Elamara Marama de Araujo Vieira ; Jonhatan Magno Norte da Silva ; Luiz Bueno da Silva 等
期刊名称：Production
印刷版ISSN：0103-6513
出版年度：2017
卷号：27
页码：1-12
DOI：10.1590/0103-6513.223916
出版社：Associação Brasileira de Engenharia de Produção
摘要：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.
关键词：Risk analysis;Bayesian networks;Occupational risk.