Travelled to:1 × Cyprus
1 × Italy
1 × USA
2 × France
2 × Spain
4 × Portugal
Collaborated with:F.Portela Á.M.Silva F.Rua A.Abelha J.Neves A.Azevedo F.Pinto P.Gago J.Machado J.P.Silva F.M.Pinto J.Pereira R.Teixeira F.Afonso B.C.d.S.Oliveira M.Vilas-Boas P.Cortez L.Gomes R.Veloso J.Aguiar
Talks about:intens (6) mine (6) data (6) intellig (5) care (5) medicin (4) model (4) support (3) predict (3) system (3)
Person: Manuel Filipe Santos
DBLP: Santos:Manuel_Filipe
Contributed to:
2014
2013
201320122011201020092006200520042002Wrote 12 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.
- 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-2009-AzevedoS #roadmap #state of the art
- Business Intelligence — State of the Art, Trends, and Open Issues (AA, MFS), pp. 296–300.
- ICEIS-AIDSS-2006-PintoGS #data mining #database #mining #paradigm
- Data Mining as a New Paradigm for Business Intelligence in Database Marketing Projects (FMP, PG, MFS), pp. 144–149.
- ICEIS-v2-2005-SantosPS #clustering #data mining #framework #mining #modelling
- A Cluster Framework for Data Mining Models — An Application to Intensive Medicine (MFS, JP, ÁMS), pp. 163–168.
- ICEIS-v2-2004-SilvaCSGN #multi #network #using
- Multiple Organ Failure Diagnosis Using Adverse Events and Neural Networks (ÁMS, PC, MFS, LG, JN), pp. 401–408.
- 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.