Travelled to:
1 × China
1 × Italy
2 × France
2 × Portugal
2 × Spain
Collaborated with:
M.F.Santos Á.M.Silva F.Rua M.Santos F.Pinto A.Abelha J.Machado M.Vilas-Boas J.P.Silva J.Neves R.Teixeira F.Afonso B.C.d.S.Oliveira R.Veloso J.Aguiar P.Gago
Talks about:
intens (7) care (6) data (5) intellig (4) support (4) medicin (4) decis (4) mine (4) predict (3) pervas (3)
Person: Filipe Portela
DBLP: Portela:Filipe
Contributed to:
Wrote 9 papers:
- KMIS-2014-TeixeiraAOPS #case study #quality
- Business Intelligence to Improve the Quality of Local Government Services — Case-study in a Local Government Town Hall (RT, FA, BCdSO, FP, MFS), pp. 153–160.
- KMIS-2014-VelosoPSSRA0 #data mining #mining #modelling #predict #realtime
- Real-Time Data Mining Models for Predicting Length of Stay in Intensive Care Units (RV, FP, MFS, ÁMS, FR, AA, JM), pp. 245–254.
- ICEIS-v1-2013-AguiarPSMASRP #information management #pervasive
- Pervasive Information Systems to Intensive Care Medicine — Technology Acceptance Model (JA, FP, MFS, JM, AA, ÁMS, FR, FP), pp. 177–184.
- KDIR-KMIS-2013-SilvaPS #education
- A Decision Support System for Portuguese Higher Education Course Selection — First Round (JPS, FP, MFS), pp. 360–367.
- KMIS-2012-PortelaPS #data mining #mining #modelling #pervasive #predict
- Data Mining Predictive Models for Pervasive Intelligent Decision Support in Intensive Care Medicine (FP, FP, MFS), pp. 81–88.
- ICEIS-v1-2011-SantosP #data mining #mining #preprocessor #ubiquitous
- Enabling Ubiquitous Data Mining in Intensive Care — Features Selection and Data Pre-processing (MS, FP), pp. 261–266.
- KMIS-2011-PortelaGSSRMAN #information management #pervasive #realtime
- Knowledge Discovery for Pervasive and Real-time Intelligent Decision Support in Intensive Care Medicine (FP, PG, MFS, ÁMS, FR, JM, AA, JN), pp. 241–249.
- ICEIS-AIDSS-2010-Vilas-BoasSPSR #data mining #mining #predict
- Hourly Prediction of Organ Failure and Outcome in Intensive Care based on Data Mining Techniques (MVB, MFS, FP, ÁMS, FR), pp. 270–277.
- KMIS-2010-PortelaSVRSN #realtime
- Real-time Intelligent Decision Support in Intensive Medicine (FP, MS, MVB, FR, ÁMS, JN), pp. 44–50.