Predicting plateau pressure in intensive medicine for ventilated patients
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Oliveira, Sérgio; Portela, Filipe; Santos, Manuel; Machado, José Manuel; Abelha, António; Silva, Álvaro; Rua, Fernando
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Open Access
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Conference paper
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2015
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rum
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http://hdl.handle.net/1822/39036
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Critical events in mechanically ventilated patients
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Portela, Filipe; Santos, Manuel; Machado, José Manuel; Abelha, António; Silva, Álvaro; Rua, Fernando
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Open Access
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Conference paper
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2016
|
rum
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http://hdl.handle.net/1822/41691
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A clinical recommendation system to maternity care
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Pereira, Eliana; Portela, Filipe; Abelha, António
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Open Access
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Book part
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2016
|
rum
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http://hdl.handle.net/1822/41703
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Pervasive and intelligent decision support in Intensive Medicine – the complete picture
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Portela, Filipe; Santos, Manuel Filipe; Machado, José Manuel; Abelha, António; Silva, Álvaro; Rua, Fernando
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Open Access
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Conference paper
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2014
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rum
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http://hdl.handle.net/1822/30782
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Plataforma de monitorização e suporte à decisão de doentes críticos
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Portela, Filipe; Santos, Manuel Filipe; Machado, José Manuel; Abelha, António; Silva, A.; Rua, F.
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Open Access
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Conference paper
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2014
|
rum
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http://hdl.handle.net/1822/31301
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Pervasive real-time intelligent system for tracking critical events with intensive care patients
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Portela, Filipe; Gago, Pedro; Santos, Manuel; Machado, José Manuel; Abelha, António; Silva, Álvaro; Fernando Rua
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Open Access
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Journal article
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2014
|
rum
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http://hdl.handle.net/1822/41716
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Clustering data mining models to identify patterns in weaning patient failures
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Oliveira, Sérgio Manuel Costa; Portela, Filipe; Santos, Manuel; Machado, José Manuel; Abelha, António; Silva, Álvaro; Rua, Fernando
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Restricted Access
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Journal article
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2016
|
rum
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http://hdl.handle.net/1822/58302
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A Real-Time intelligent system for tracking patient condition
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Portela, Filipe; Oliveira, Sérgio Manuel Costa; Santos, Manuel; Machado, José Manuel; Abelha, António
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Open Access
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Conference paper
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2015
|
rum
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http://hdl.handle.net/1822/41709
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Predict hourly patient discharge probability in intensive care units using Data Mining
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Portela, Filipe; Veloso, Rui; Oliveira, Sérgio Manuel Costa; Santos, Manuel; Abelha, António; Machado, José Manuel; Silva, Álvaro; Rua, Fernando
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Open Access
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Journal article
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2015
|
rum
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http://hdl.handle.net/1822/51954
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Pervasive patient timeline for intensive care units
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Braga, André Filipe Gonçalves Névoa Fernandes; Portela, Filipe; Santos, Manuel; Machado, José Manuel; Abelha, António; Silva, Álvaro; Rua, Fernando
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Open Access
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Conference paper
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2016
|
rum
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http://hdl.handle.net/1822/41693
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Categorize readmitted patients in Intensive Medicine by means of Clustering Data Mining
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Veloso, Rui Pedro Brás; Portela, Filipe; Santos, Manuel; Abelha, António; Machado, José Manuel; Silva, Álvaro; Rua, Fernando
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Restricted Access
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Journal article
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2017
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rum
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https://hdl.handle.net/1822/51548
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Real-Time models to predict the use of vasopressors in monitored patients
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Braga, A. C.; Portela, Filipe; Santos, Manuel; Abelha, António; Machado, José Manuel; Silva, Álvaro; Rua, Fernando
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Open Access
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Conference paper
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2016
|
rum
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http://hdl.handle.net/1822/41706
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Using domain knowledge to improve intelligent decision support in intensive medicine - a study of bacteriological infections
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Machado, José Manuel; Abelha, António; Rua, Fernando; Silva, Álvaro; Santos, Manuel Filipe; Portela, Filipe; Veloso, Rui
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Open Access
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Conference paper
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2015
|
rum
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http://hdl.handle.net/1822/36734
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Predict hourly patient discharge probability in intensive care units using data mining
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Portela, Filipe; Veloso, Rui; Santos, Manuel Filipe; Machado, José Manuel; Abelha, António; Silva, Álvaro; Rua, Fernando; Oliveira, Sérgio Manuel Costa
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Open Access
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Journal article
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2014
|
rum
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http://hdl.handle.net/1822/31406
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Data mining to predict the use of vasopressors in intensive medicine patients
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Braga, André; Portela, Filipe; Santos, Manuel; Abelha, António; Machado, José Manuel; Silva, Álvaro; Rua, Fernando
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Restricted Access
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Journal article
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2016
|
rum
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http://hdl.handle.net/1822/51741
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Real-Time decision support using data mining to predict blood pressure critical events in intensive medicine patients
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Portela, Filipe; Santos, Manuel; Machado, José Manuel; Abelha, António; Rua, Fernando; Silva, Álvaro
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Open Access
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Conference paper
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2015
|
rum
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http://hdl.handle.net/1822/41708
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Clustering barotrauma patients in ICU–A data mining based approach using ventilator variables
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Oliveira, Sérgio Manuel Costa; Portela, Filipe; Santos, Manuel Filipe; Machado, José; Abelha, António; Silva, Álvaro; Rua, Fernando
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Open Access
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Conference paper
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2015
|
rum
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http://hdl.handle.net/1822/39279
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Optimization techniques to detect early ventilation extubation in intensive care units
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Oliveira, Pedro Miguel Martins de; Portela, Filipe; Santos, Manuel; Machado, José Manuel; Abelha, António; Silva, Álvaro; Rua, Fernando
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Open Access
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Conference paper
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2016
|
rum
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http://hdl.handle.net/1822/41698
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Towards a pervasive data mining engine: architecture overview
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Peixoto, Rui Daniel Ferreira; Portela, Filipe; Santos, Manuel
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Open Access
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Conference paper
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2016
|
rum
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http://hdl.handle.net/1822/41694
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Pervasive adaptive data acquisition gateway for critical healthcare
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Oliveira, Sérgio Manuel Costa; Portela, Filipe; Santos, Manuel; Machado, José; Abelha, António
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Open Access
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Conference paper
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2016
|
rum
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http://hdl.handle.net/1822/41696
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Improving quality of medical service with mobile health software
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Pereira, Ana; Marins, Fernando Augusto Silva; Rodrigues, Bruno; Portela, Filipe; Santos, Manuel Filipe; Machado, José Manuel; Rua, Fernando; Silva, Álvaro; Abelha, António
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Open Access
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Conference paper
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2015
|
rum
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https://hdl.handle.net/1822/39275
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Intelligent decision support to predict patient barotrauma risk in intensive care units
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Oliveira, Sérgio Manuel Costa; Portela, Filipe; Santos, Manuel Filipe; Machado, José Manuel; Abelha, António; Silva, Álvaro; Rua, Fernando
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Open Access
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Conference paper
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2015
|
rum
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https://hdl.handle.net/1822/39280
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Information systems assessment in pathologic anatomy service
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Novo, Ana; Duarte, Júlio; Portela, Filipe; Abelha, António; Santos, Manuel; Machado, José Manuel
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Restricted Access
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Conference paper
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2015
|
rum
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https://hdl.handle.net/1822/39035
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