Travelled to:1 × Italy
1 × Portugal
2 × France
2 × Spain
Collaborated with:Á.M.Silva M.F.Santos F.Portela A.Abelha J.Neves J.Machado M.Vilas-Boas M.Santos R.Veloso J.Aguiar F.Pinto P.Gago
Talks about:intens (5) care (4) medicin (3) time (3) real (3) mine (3) data (3) intellig (2) support (2) predict (2)
Person: Fernando Rua
DBLP: Rua:Fernando
Contributed to:
2014
20132011201020102002Wrote 6 papers:
- 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.
- 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.
- ICEIS-2002-SantosNASR #classification #data mining #database #learning #mining #using
- Augmented Data Mining over Clinical Databases Using Learning Classifier Systems (MFS, JN, AA, ÁMS, FR), pp. 512–516.