Session

Saturday, June 24, 2017 - 09:00 to 15:45
Bringing Bayesian networks to bedside: a web-based framework
Abstract: 
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.
Raphael Oliveira's picture
Raphael Oliveira
Joana Ferreira's picture
Joana Ferreira
CINTESIS - FMUP (PT)
Diogo Libanio's picture
Diogo Libanio
Claudia Camila Dias's picture
Claudia Camila Dias
Pedro Pereira Rodrigues's picture
Pedro Pereira Rodrigues
University of Porto (PT)