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Showing results 34 to 50 of 50. < previous 
Issue DateTitleAuthor(s)TypeAccess
2014A pervasive intelligent system for scoring MEWS and TISS-28 in intensive carePortela, Filipe; Santos, Manuel Filipe; Silva, Álvaro, et al.Conference paperRestricted access (UMinho)
2016Pervasive patient timeline for intensive care unitsBraga, André Filipe Gonçalves Névoa Fernandes; Portela, Filipe; Santos, Manuel, et al.Conference paperOpen access
1-Oct-2013Pervasive real-time intelligent system for tracking critical events in intensive care patientsPortela, Filipe; Gago, Pedro; Santos, Manuel Filipe, et al.PreprintRestricted access (UMinho)
2014Predict hourly patient discharge probability in intensive care units using data miningPortela, Filipe; Veloso, Rui; Santos, Manuel Filipe, et al.ArticleOpen access
Nov-2015Predict hourly patient discharge probability in intensive care units using Data MiningPortela, Filipe; Veloso, Rui; Oliveira, Sérgio Manuel Costa, et al.ArticleOpen access
2015Predicting plateau pressure in intensive medicine for ventilated patientsOliveira, Sérgio; Portela, Filipe; Santos, Manuel, et al.Conference paperOpen access
2014Preventing patient cardiac arrhythmias by using Data Mining TechniquesPortela, Filipe; Santos, Manuel; Silva, Álvaro, et al.Conference paperOpen access
Nov-2014Real-time data mining models for predicting length of stay in intensive care unitsVeloso, Rui; Portela, Filipe; Santos, Manuel, et al.Conference paperOpen access
Mar-2013Real-time decision support in intensive medicine : an intelligent approach for monitoring data qualityPortela, Filipe; Santos, Manuel Filipe; Machado, José Manuel, et al.ArticleOpen access
2015Real-Time decision support using data mining to predict blood pressure critical events in intensive medicine patientsPortela, Filipe; Santos, Manuel; Machado, José Manuel, et al.Conference paperOpen access
2010Real-time intelligent decision support in intensive medicinePortela, Filipe; Santos, Manuel Filipe; Silva, Alvaro, et al.Conference paperRestricted access (UMinho)
2016Real-Time models to predict the use of vasopressors in monitored patientsBraga, A. C.; Portela, Filipe; Santos, Manuel, et al.Conference paperOpen access
2010Real-time prediction of organ failure and outcome in intensive medicineVilas-Boas, Marta; Portela, Filipe; Santos, Manuel Filipe, et al.Conference paperRestricted access (UMinho)
6-Nov-2014Real-time predictive analytics for sepsis level and therapeutic plans in intensive care medicineGonçalves, João; Portela, Filipe; Santos, Manuel Filipe, et al.ArticleOpen access
1-Jan-2016Resurgery Clusters in Intensive MedicinePeixoto, Ricardo; Portela, Filipe; Pinto, Filipe, et al.Conference paperRestricted access (UMinho)
2015Step towards a patient timeline in intensive care unitsBraga, André; Portela, Filipe; Santos, Manuel, et al.Conference paperOpen access
2015Using domain knowledge to improve intelligent decision support in intensive medicine - a study of bacteriological infectionsMachado, José Manuel; Abelha, António; Rua, Fernando, et al.Conference paperOpen access