Prediction of outcome in multiorgan resections for cancer using a bayes-network.

Background/aims: The long-term success of multivisceral resections for cancer is difficult to forecast due to the complexity of factors influencing the prognosis. The aim of our study was to assess the predictivity of a Bayes network for the postoperative outcome and survival.

Methodology: We included each oncologic patient undergoing resection of 4 or more organs from 2002 till 2005 at the Ulm university hospital.