| KDD, SEMMA and CRISP-DM: a parallel overview AIRL Azevedo, MF Santos IADS-DM, 2008 | 546 | 2008 |
| Preâmbulo [a]" Data mining: descoberta de conhecimento em bases de dados" MF Santos, CS Azevedo FCA-Editora de Informática, Lda, 2005 | 101 | 2005 |
| Mortality assessment in intensive care units via adverse events using artificial neural networks A Silva, P Cortez, MF Santos, L Gomes, J Neves Artificial intelligence in medicine 36 (3), 223-234, 2006 | 86 | 2006 |
| Rating organ failure via adverse events using data mining in the intensive care unit Á Silva, P Cortez, MF Santos, L Gomes, J Neves Artificial intelligence in medicine 43 (3), 179-193, 2008 | 85 | 2008 |
| The next generation of interoperability agents in healthcare L Cardoso, F Marins, F Portela, M Santos, A Abelha, J Machado International journal of environmental research and public health 11 (5 …, 2014 | 65 | 2014 |
| Business intelligence as a competitive advantage for SMEs T Guarda, M Santos, F Pinto, M Augusto, C Silva International Journal of Trade, Economics and Finance 4 (4), 187, 2013 | 60 | 2013 |
| INTCare: a knowledge discovery based intelligent decision support system for intensive care medicine P Gago, MF Santos, Á Silva, P Cortez, J Neves, L Gomes Journal of decision systems 14 (3), 241-259, 2005 | 57 | 2005 |
| Intelligence in Interoperability with AIDA H Peixoto, M Santos, A Abelha, J Machado International Symposium on Methodologies for Intelligent Systems, 264-273, 2012 | 54 | 2012 |
| INTCARE: multi-agent approach for real-time intelligent decision support in intensive medicine MF Santos, F Portela, M Vilas-Boas SciTePress, 2011 | 53 | 2011 |
| Pervasive and intelligent decision support in intensive medicine–the complete picture F Portela, MF Santos, J Machado, A Abelha, Á Silva, F Rua International Conference on Information Technology in Bio-and Medical …, 2014 | 49 | 2014 |
| A clustering approach for predicting readmissions in intensive medicine R Veloso, F Portela, MF Santos, A Silva, F Rua, A Abelha, J Machado Procedia Technology 16, 1307-1316, 2014 | 43 | 2014 |
| Enabling a pervasive approach for intelligent decision support in critical health care CF Portela, MF Santos, Á Silva, J Machado, A Abelha International Conference on ENTERprise Information Systems, 233-243, 2011 | 38 | 2011 |
| Electronic health record in dermatology service J Duarte, CF Portela, A Abelha, J Machado, MF Santos International Conference on ENTERprise Information Systems, 156-164, 2011 | 38 | 2011 |
| A benchmarking analysis of open-source business intelligence tools in healthcare environments A Brandão, E Pereira, M Esteves, F Portela, MF Santos, A Abelha, ... Information 7 (4), 57, 2016 | 36 | 2016 |
| New models for strength and deformability parameter calculation in rock masses using data-mining techniques T Miranda, AG Correia, M Santos, L Ribeiro e Sousa, P Cortez International Journal of Geomechanics 11 (1), 44-58, 2011 | 35 | 2011 |
| Data mining models to predict patient's readmission in intensive care units P Braga, F Portela, MF Santos, F Rua SCITEPRESS, 2014 | 33 | 2014 |
| Pervasive and intelligent decision support in critical health care using ensembles F Portela, MF Santos, J Machado, A Abelha, Á Silva International Conference on Information Technology in Bio-and Medical …, 2013 | 33 | 2013 |
| Knowledge discovery for pervasive and real-time intelligent decision support in intensive care medicine F Portela, P Gago, MF Santos, A Silva, F Rua, JM Machado, A Abelha, ... SciTePress, 2011 | 32 | 2011 |
| Predicting type of delivery by identification of obstetric risk factors through data mining S Pereira, F Portela, MF Santos, J Machado, A Abelha Procedia Computer Science 64, 601-609, 2015 | 31 | 2015 |
| Multiple organ failure diagnosis using adverse events and neural networks A Silva, P Cortez, M Santos, L Gomes, J Neves Enterprise information systems VI, 127-134, 2006 | 30 | 2006 |
