Bringing Bayesian Networks to Bedside: A Web-Based Framework

Bayesian networks are one of the most intuitive statistical models for both estimation, classification and prediction of patients outcomes. However, the availability of inference software in clinical settings is still limited. This work presents preliminary steps towards the creation of simple web-based forms that can access a powerful Bayesian network inference engine, making the derived models usable at bedside by both the clinicians and the patients themselves.