Women’s Occupational Health: Improving Medical Protocols with Artificial Intelligence Solutions

Treatment of women in occupational health research needs a new perspective to reduce gender gaps. In this study, machine learning through Bayesian modeling is applied to a large dataset with 172,026 records from medical examinations carried out to workers from different companies engaged in several strategic economic sectors in Spain. The Bayesian models generated together with the application of recent information theory parameters are expected to unveil hidden health risk factors that must be considered in the design of future medical protocols and policies. Finally, the aim of this study is also to promote the introduction of AI solutions in future gender studies.