This project proposes a decision support system based on intelligent modelling and patient sub-group analysis to provide personalized therapy for critically ill patients It is hypothesized that the Collective Experience from large clinical databases  where clinical decisions are linked with patients outcomes  can be used to identify specific patient sub-groups and build personalized therapy models towards a new era of personalized medicine  allowing improvement of patient outcomes in the ICU