The introduction of an Intelligent Decision Support System (IDSS) in a critical area like the Intensive
Medicine is a complex and difficult process. In this area, their professionals don’t have much time to
document the cases, because the patient direct care is always first. With the objective to reduce significantly
the manual records and, enabling, at the same time, the possibility of developing an IDSS which can help in
the decision making process, all data acquisition process and knowledge discovery in database phases were
automated. From the data acquisition to the knowledge discovering, the entire process is autonomous and
executed in real-time. On-line induced data mining models were used to predict organ failure and outcome.
Preliminary results obtained with a limited population of patients showed that this approach can be applied
successfully.Fundação para a Ciência e a Tecnologia (FCT
