Intelligent decision support in Intensive Care Medicine (original) (raw)

– This paper introduces the INTCare system, an intelligent decision support system for intensive medi-cine. The system aims at the automation of the Knowledge Discovery Process by using autonomous agents that are responsible for the various constituent steps. The system enables automation of data acquisition and model updating avoiding human intervention. We present the first impres-sions after the deployment of INTCare in a real environ-ment (Intensive Care Unit of the Hospital de Santo António, Oporto, Portugal) where it is supporting the physicians ’ decisions by means of prognostic Data Mining models. In particular, these techniques are used to predict organ failure and mortality assessment. The main intention is to change the current reactive behaviour to a pro-active one, enhancing the Quality of Service.

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