| Intelligence in Interoperability with AIDA H Peixoto, M Santos, A Abelha, J Machado Foundations of Intelligent Systems: 20th International Symposium, ISMIS 2012 …, 2012 | 77 | 2012 |
| 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 | 47 | 2019 |
| Predicting the need of neonatal resuscitation using data mining A Morais, H Peixoto, C Coimbra, A Abelha, J Machado Procedia computer science 113, 571-576, 2017 | 37 | 2017 |
| Knowledge discovery from surgical waiting lists C Neto, H Peixoto, V Abelha, A Abelha, J Machado Procedia Computer Science 121, 1104-1111, 2017 | 19 | 2017 |
| Machine learning in nutritional follow-up research R Reis, H Peixoto, J Machado, A Abelha Open Computer Science 7 (1), 41-45, 2017 | 18 | 2017 |
| Improving maternity care with business intelligence P Loreto, F Fonseca, A Morais, H Peixoto, A Abelha, J Machado 2017 5th International Conference on Future Internet of Things and Cloud …, 2017 | 17 | 2017 |
| Modelling intelligent behaviours in multi-agent based hl7 services M Miranda, G Pontes, P Gonçalves, H Peixoto, M Santos, A Abelha, ... Computer and Information Science 2010, 95-106, 2010 | 17 | 2010 |
| Modular blockchain implementation in intensive medicine T Guimarães, H Silva, H Peixoto, M Santos Procedia Computer Science 170, 1059-1064, 2020 | 16 | 2020 |
| Step towards progressive web development in obstetrics P Loreto, J Braga, H Peixoto, J Machado, A Abelha Procedia Computer Science 141, 525-530, 2018 | 16 | 2018 |
| Predicting low birth weight babies through data mining P Loreto, H Peixoto, A Abelha, J Machado New Knowledge in Information Systems and Technologies: Volume 3, 568-577, 2019 | 15 | 2019 |
| A data mining approach to classify serum creatinine values in patients undergoing continuous ambulatory peritoneal dialysis C Brito, M Esteves, H Peixoto, A Abelha, J Machado Wireless Networks, 1-9, 2022 | 14 | 2022 |
| A new architecture for intelligent clinical decision support for intensive medicine H Peixoto, T Guimarães, MF Santos Procedia Computer Science 170, 1035-1040, 2020 | 12 | 2020 |
| Understanding stroke in dialysis and chronic kidney disease M Rodrigues, H Peixoto, M Esteves, J Machado Procedia computer science 113, 591-596, 2017 | 12 | 2017 |
| ICU data management-a permissioned blockchain approach T Guimarães, A Moreira, H Peixoto, M Santos Procedia Computer Science 177, 546-551, 2020 | 11 | 2020 |
| Prediction of length of stay for stroke patients using artificial neural networks C Neto, M Brito, H Peixoto, V Lopes, A Abelha, J Machado Trends and Innovations in Information Systems and Technologies: Volume 1 8 …, 2020 | 11 | 2020 |
| Step towards prediction of perineal tear F Fonseca, H Peixoto, F Miranda, J Machado, A Abelha Procedia computer science 113, 565-570, 2017 | 11 | 2017 |
| Semantic interoperability and health records H Peixoto, J Machado, J Neves, A Abelha E-Health: First IMIA/IFIP Joint Symposium, E-Health 2010, Held as Part of …, 2010 | 11 | 2010 |
| Development of FHIR based web applications for appointment management in healthcare A Chaves, T Guimarães, J Duarte, H Peixoto, A Abelha, J Machado Procedia Computer Science 184, 917-922, 2021 | 10 | 2021 |
| Smart mobile computing in pregnancy care F Fonseca, H Peixoto, J Braga, JM Machado, A Abelha International Society for Computers and Their Applications (ISCA), 2019 | 10 | 2019 |
| Predictive data mining in nutrition therapy D Ferreira, H Peixoto, J Machado, A Abelha 2018 13th APCA International Conference on Automatic Control and Soft …, 2018 | 10 | 2018 |
José Manuel Ferreira MachadoALGORITMI, Universidade do MinhoDirección de correo verificada de di.uminho.pt
