| 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 | 128 | 2014 |
| Quality of service in healthcare units J Machado, A Abelha, P Novais, J Neves, J Neves International Journal of Computer Aided Engineering and Technology 2 (4 …, 2010 | 105 | 2010 |
| The halt condition in genetic programming J Neves, J Machado, C Analide, A Abelha, L Brito Progress in Artificial Intelligence: 13th Portuguese Conference on …, 2007 | 100 | 2007 |
| Recommendation system using autoencoders D Ferreira, S Silva, A Abelha, J Machado Applied Sciences 10 (16), 5510, 2020 | 92 | 2020 |
| Intelligence in Interoperability with AIDA H Peixoto, M Santos, A Abelha, J Machado Foundations of Intelligent Systems: 20th International Symposium, ISMIS 2012 …, 2012 | 86 | 2012 |
| Data mining for cardiovascular disease prediction B Martins, D Ferreira, C Neto, A Abelha, J Machado Journal of medical systems 45, 1-8, 2021 | 77 | 2021 |
| 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 | 74 | 2014 |
| O processo etl em sistemas data warehouse J Ferreira, M Miranda, A Abelha, J Machado INForum 1, 2010, 2010 | 65 | 2010 |
| Pervasive and intelligent decision support in intensive medicine–the complete picture F Portela, MF Santos, J Machado, A Abelha, Á Silva, F Rua Information Technology in Bio-and Medical Informatics: 5th International …, 2014 | 64 | 2014 |
| Electronic health record in dermatology service J Duarte, CF Portela, A Abelha, J Machado, MF Santos ENTERprise Information Systems: International Conference, CENTERIS 2011 …, 2011 | 64 | 2011 |
| Artificial neural networks in diabetes control F Fernandes, H Vicente, A Abelha, J Machado, P Novais, J Neves 2015 Science and Information Conference (SAI), 362-370, 2015 | 62 | 2015 |
| 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 | 62 | 2015 |
| INTCARE: multi-agent approach for real-time intelligent decision support in intensive medicine MF Santos, F Portela, M Vilas-Boas SciTePress, 2011 | 61 | 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 | 59 | 2016 |
| Healthcare interoperability through intelligent agent technology L Cardoso, F Marins, F Portela, A Abelha, J Machado Procedia Technology 16, 1334-1341, 2014 | 58 | 2014 |
| Application of data mining for the prediction of mortality and occurrence of complications for gastric cancer patients C Neto, M Brito, V Lopes, H Peixoto, A Abelha, J Machado Entropy 21 (12), 1163, 2019 | 53 | 2019 |
| Prediction of the quality of public water supply using artificial neural networks H Vicente, S Dias, A Fernandes, A Abelha, J Machado, J Neves Journal of Water Supply: Research and Technology—AQUA 61 (7), 446-459, 2012 | 53 | 2012 |
| Data quality evaluation of electronic health records in the hospital admission process J Duarte, M Salazar, C Quintas, M Santos, J Neves, A Abelha, J Machado 2010 IEEE/ACIS 9th International Conference on Computer and Information …, 2010 | 50 | 2010 |
| Agency for integration, diffusion and archive of medical information A Abelha, J Machado, M Santos, S Allegro, F Rua, M Paiva, J Neves Proceedings of the Third IASTED International Conference-Artificial …, 2002 | 49* | 2002 |
| Interoperability in healthcare L Cardoso, F Marins, C Quintas, F Portela, M Santos, A Abelha, ... Cloud Computing Applications for Quality Health Care Delivery, 78-101, 2014 | 48 | 2014 |