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FIRST EuropeTitle: Predictive data mining techniques in anaesthesiaPartners: Service d'anesthésie de l'hôpital ERASME, ARTEMI and AIRLAB, Politecnico di Milano (Italy) Funding: FIRST Europe Objectif 1 Duration: 2004-2009 Project goal: The goal of the project is to develop data mining techniques to analyse the massive datasets collected by the "TOOLBOX" software, currently used by the anestehesists of the Erasme hospital during the surgical interventions. Data concerns the monitored state of the patient (e.g. blood pressure, the rate of heartbeat), the type and concentrations of drugs, the actions of the anesthesist. The resulting predictive models are expected to support anesthesists with high-level information about the course of the operation. MLG researcher involved: Olivier Caelen (Machine Learning Group - Computer Science Department - Université Libre de Bruxelles |
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