1. Veloso, J.R., F. Portela, M.F. Santos, A. Silva, F. Rua, A. Abelha and J. Machado, 2016. Categorize readmitted patients in intensive medicine by means of clustering data mining. Int. J. E Health Med. Commun., .
2. Silva, B.A., H. Vicente, A. Abelha, M.F. Santos, J. Machado, J. Neves and J. Neves, 2016. Length of stay in intensive care units - a case base evaluation, in frontiers in artificial intelligence and applications. New Trends Software Methodologies Tools Tech., .
3. Silva, B.A., F. Portela, M.F. Santos, A. Abelha and J. Machado, 2016. Predicting brain deaths using text mining and X-Rays clinical notes. Lecture notes in computer science (LNCS). Comput. Sci. Appl., .
4. Portela, B.F., M.F. Santos, J. Machado, A. Abelha, A. Silva and F.R. Martins, 2016. Critical events in mechanically ventilated patients. Adv. Intell. Syst. Comput., .
5. Pereira, B.S., L. Torres, F. Portela, M.F. Santos, J. Machado and A. Abelha, 2016. Predicting triage waiting time in maternity emergency care by means of data mining. Adv. Intell. Syst. Comput., .
6. Oliveira, J.S., F. Portela, M.F. Santos, J. Machado, A. Abelha, A. Silva and F. Rua, 2016. Clustering data mining models to identify patterns in weaning patient failures. Int. J. Biol. Biomed. Eng., .
7. Oliveira, B.S., F. Portela, M.F. Santos, A. Abelha and J. Machado, 2016. Pervasive adaptive data acquisition gateway for critical healthcare. Adv. Intell. Syst. Comput., .
8. Oliveira, B.P., F. Portela, M.F. Santos, J. Machado, A. Abelha, A. Silva and F.R. Martins, 2016. Optimization techniques to detect early ventilation extubation in intensive care units. Adv. Intell. Syst. Comput., .
9. Neves, B.J., V. Abelha, H. Vicente, J. Neves and J. Machado, 2016. Length of hospital stay and quality of care, in knowledge, information and creativity support systems. Adv. Intell. Syst. Comput., .
10. Machado, J., L. Barreiro, L. Oliveira, S. Pinto and A. Coimbra, 2016. Applying Soft Computing to Clinical Decision Support. In: Applying Business Intelligence to Clinical and Healthcare Organizations, Machado, J. and A. Abelha (Eds.). Chapter 13, IGI Global, USA., ISBN-13: 9781466698833, pp: 256-271.
11. Machado, J. and A. Abelha, 2016. Applying Business Intelligence to Clinical and Healthcare Organizations. IGI Global, USA., ISBN-13: 9781466698833, Pages: 347.
12. Goncalves, N., C. Quintas and J. Machado, 2016. Clinical Business Intelligence to Prevent Stroke Accidents. In: Applying Business Intelligence to Clinical and Healthcare Organizations, Machado, J. and A. Abelha (Eds.). Chapter 12, IGI Global, USA., ISBN-13: 9781466698833, pp: 241-255.
13. Foshch, T., F. Portela, J. Machado and M. Maksimov, 2016. Regression models of the nuclear power unit VVER-1000 using data mining techniques. Procedia Comput. Sci., 100: 253-262.
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14. Faria, B.R., H. Vicente, A. Abelha, M. Santos, J. Machado and J. Neves, 2016. A case-based approach to nosocomial infection detection, artificial intelligence and soft computing. Lect. Notes Comput. Sci., .
15. Esteves, B.M., H. Vicente, J. Machado, V. Alves and J. Neves, 2016. A case based methodology for problem solving aiming at knee osteoarthritis detection, in soft computing and data mining. Adv. Intell. Syst. Comput., .
16. Coelho, D., J. Miranda, F. Portela, J. Machado, M.F. Santos and A. Abelha, 2016. Towards of a business intelligence platform to portuguese misericordias. Procedia Comput. Sci., 100: 762-767.
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17. Braga, B.A., F. Portela, M.F. Santos, J. Machado, A. Abelha, A. Silva and F.R. Martins, 2016. Pervasive patient timeline for intensive care units. Adv. Intell. Syst. Comput., .
18. Braga, A., F. Portela, M.F. Santos, J. Machado, A. Abelha, A. Silva and F. Rua, 2016. Pervasive Patient Timeline for Intensive Care Units. In: New Advances in Information Systems and Technologies, Volume 2, Rocha, A., A.M. Correia, H. Adeli, L.P. Reis and M.M. Teixeira (Eds.). Springer International Publishing, Switzerland, ISBN: 978-3-319-31306-1, pp: 527-536.
19. Teixeira, R., F. Afonso, B. Oliveira, J. Machado, A. Abelha, M.F. Santos and F. Portela, 2015. Decision support in e-government-a pervasive business intelligence approach. Adv. Intell. Syst. Comput., 354: 155-166.
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20. Silva, J.E., L. Cardoso, F. Marins, A. Abelha and J. Machado, 2015. Business intelligence platform for nosocomial infection incidence. J. Convergence Inf. Technol., .
21. Silva, E., L. Cardoso, F. Portela, A. Abelha, M.F. Santos and J. Machado, 2015. Predicting nosocomial infection by using data mining technologies. Adv. Intell. Syst. Comput., 354: 189-198.
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22. Portela, F., M.F. Santos, J. Machado, A. Abelha, F. Rua and A. Silva, 2015. Real-time decision support using data mining to predict blood pressure critical events in intensive medicine patients. Lect. Notes Comput. Sci., 9456: 77-90.
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23. Portela, B.F., S. Oliveira, M.F. Santos, A. Abelha and J. Machado, 2015. A real- time intelligent system for tracking patient condition, in ambient intelligence for health. Lect. Notes Comput. Sci., .
24. Pereira, S., F. Portela, M.F. Santos, J. Machado and A. Abelha, 2015. Predicting type of delivery by identification of obstetric risk factors through data mining. Procedia Comput. Sci., 64: 601-609.
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25. Pereira, A., E. Pereira, E. Silva, T. Guimaraes and F. Portela, et al., 2015. An overview of the quality of service in bluetooth communications in healthcare. Adv. Intell. Syst. Comput., 376: 155-164.
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26. Oliveira, S., F. Portela, M.F. Santos, J. Machado, A. Abelha, A. Silva and F. Rua, 2015. Predicting plateau pressure in intensive medicine for ventilated patients. Adv. Intell. Syst. Comput., 354: 179-188.
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27. Oliveira, S., F. Portela, M.F. Santos, J. Machado, A. Abelha, A. Silva and F. Rua, 2015. Intelligent decision support to predict patient barotrauma risk in intensive care units. Procedia Comput. Sci., 64: 626-634.
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28. Novo, A., J. Duarte, F. Portela, A. Abelha, M.F. Santos and J. Machado, 2015. Information systems assessment in pathologic anatomy service. Adv. Intell. Syst. Comput., 354: 199-209.
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29. Neves, J., M.R. Martins, J. Vilhena, S. Neves and S. Gomes, et al., 2015. A soft computing approach to kidney diseases evaluation. J. Med. Syst., 39: 1-9.
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30. Neves, B.J., A. Cunha, A. Almeida, A. Carvalho, J. Neves, A. Abelha, J. Machado and H. Vicente, 2015. Artificial neural networks in diagnosis of liver diseases, in information technology in bio- and medical informatics. Lect. Notes Comput. Sci., 9267: 71-80.
31. Neves, B., J., M.R. Martins, H. Vicente, N. Joao, A. Abelha and J. Machado, 2015. An assessment of chronic kidney diseases, in new contributions in information systems and technologies. Adv. Intell. Syst. Comput., .
32. Lima, L., F. Portela, M.F. Santos, A. Abelha and J. Machado, 2015. Big data for stock market by means of mining techniques. Adv. Intell. Syst. Comput., 353: 679-688.
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33. Filipe, P., V. Rui, O. Sergio, S.M. Filipe and A. Antonio et al., 2015. Predict hourly patient discharge probability in intensive care units using data mining. Indian J. Sci. Technol., 8: 1-11.
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34. Cardoso, L., F. Marins, R. Magalhaes, N. Marins and T. Oliveira et al., 2015. Abstract computation in schizophrenia detection through artificial neural network based systems. Scient. World J. 10.1155/2015/467178.
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35. Braga, A., F. Portela, M.F. Santos, J. Machado, A. Abelha, A. Silva and F. Rua, 2015. Step towards a patient timeline in intensive care units. Procedia Comput. Sci., 64: 618-625.
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36. Abelha, A., E. Pereira, A. Brandao, F. Portela, M.F. Santos, J. Machado and J. Braga, 2015. Improving quality of services in maternity care triage system. Int. J. E Health Med. Commun., 6: 10-26.
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37. Veloso, R., F. Portela, M.F. Santos, A. Silva, F. Rua, A. Abelha and J. Machado, 2014. A clustering approach for predicting readmissions in intensive medicine. Procedia Technol., 16: 1307-1316.
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38. Silva, P., P. Gago, J.C.B. Ribeiro, M.F. Santos and F. Portela et al., 2014. An expert system for supporting traditional Chinese medicine diagnosis and treatment. Procedia Technol., 16: 1487-1492.
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39. Silva, E., A. Alpuim, L. Cardoso, F. Marins and C. Quintas et al., 2014. Business Intelligence and Nosocomial Infection Decision Making. In: Integration of Data Mining in Business Intelligence Systems, Azevedo, A. and M.F. Santos (Eds.). Chapter 10, IGI Global Book, USA., ISBN-13: 9781466664784, pp: 193-215.
40. Portela, F., M.F. Santos, J. Machado, A. Abelha, A. Silva and F. Rua, 2014. Pervasive and Intelligent Decision Support in Intensive Medicine: The Complete Picture. In: Information Technology in Bio- and Medical Informatics, Bursa, M., S. Khuri and M.E. Renda (Eds.). Springer, New York, USA., ISBN: 978-3-319-10264-1, pp: 87-102.
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41. Portela, F., J. Aguiar, M.F. Santos, A. Abelha, J. Machado, A. Silva and F. Rua, 2014. Assessment of technology acceptance in intensive care units. Int. J. Syst. Serv.-Oriented Eng., 4: 26-45.
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42. Pereira, E., A. Brandao, M. Salazar, F. Portela and M.F. Santos et al., 2014. Pre-Triage Decision Support Improvement in Maternity Care by Means of Data Mining. In: Integration of Data Mining in Business Intelligence Systems, Azevedo, A. and M.F. Santos (Eds.). Chapter 9, IGI Global Book, USA., ISBN-13: 9781466664784, pp: 175-192.
43. Oliveira, S., F. Portela, M.F. Santos, J. Machado and A. Abelha, 2014. Predictive Models for Hospital Bed Management Using Data Mining Techniques. In: New Perspectives in Information Systems and Technologies, Volume 2, Rocha, A., A.M. Correia, F.B. Tan and K.A. Stroetmann (Eds.). Springer, New York, USA., ISBN: 978-3-319-05947-1, pp: 407-416.
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44. Marins, F., L. Cardoso, F. Portela, M.F. Santos, A. Abelha and J. Machado, 2014. Improving High Availability and Reliability of Health Interoperability Systems. In: New Perspectives in Information Systems and Technologies, Volume 2, Rocha, A., A.M. Correia, F.B. Tan and K.A. Stroetmann (Eds.). Springer, New York, USA., ISBN: 978-3-319-05947-1, pp: 207-216.
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45. Goncalves, J.M.C., F. Portela, M. Santos, A. Silva, J. Machado, A. Abelha and F. Rua, 2014. Real-time predictive analytics for sepsis level and therapeutic plans in intensive care medicine. Int. J. Healthcare Inform. Syst. Inform., 9: 36-54.
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46. Duarte, J., S. Castro, M. Santos, A. Abelha and J. Machado, 2014. Improving quality of electronic health records with SNOMED. Procedia Technol., 16: 1342-1350.
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47. Cardoso, L., F. Marins, F. Portela, M. Santos, A. Abelha and J. Machado, 2014. The next generation of interoperability agents in healthcare. Int. J. Environ. Res. Public Health, 11: 5349-5371.
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48. Cardoso, L., F. Marins, F. Portela, M. Santos, A. Abelha and J. Machado, 2014. A Multi-agent Platform for Hospital Interoperability. In: Ambient Intelligence-Software and Applications, Ramos, C., P. Novais, C.E. Nihan, J.M. Corchado Rodriguez (Eds.). Springer, New York, USA., ISBN: 978-3-319-07595-2, pp: 127-134.
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49. Cardoso, L., F. Marins, F. Portela, A. Abelha and J. Machado, 2014. Healthcare interoperability through intelligent agent technology. Procedia Technol., 16: 1334-1341.
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50. Cardoso, L., F. Marins, C. Quintas, F. Portela, M. Santos, A. Abelha and J. Machado, 2014. Interoperability in Healthcare. In: Cloud Computing Applications for Quality Health Care Delivery, Moumtzoglou, A. (Ed.). Chapter 5, IGI Global, USA., ISBN-13: 9781466661196, pp: 78-101.
51. Brandao, A., E. Pereira, F. Portela, M.F. Santos, A. Abelha and J. Machado, 2014. Managing voluntary interruption of pregnancy using data mining. Procedia Technol., 16: 1297-1306.
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52. Valente, S., J. Braga, J. Machado, M. Santos and A. Abelha, 2013. The impact of mobile platforms in obstetrics. Procedia Technol., 9: 1201-1208.
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53. Santos, M., F. Portela, M. Miranda, J. Machado, A. Abelha, A. Silva and F. Rua, 2013. Grid Data Mining Strategies for Outcome Prediction in Distributed Intensive Care Units. In: Information Systems and Technologies for Enhancing Health and Social Care, Martinho, R., R. Rijo and M.M. Cruz-Cunha (Eds). Chapter 6, IGI Global Book, USA., ISBN-13: 9781466636675, pp: 87-101.
54. Salgado, C., L. Cardoso, P. Goncalves, A. Abelha and J. Machado, 2013. Tracking People and Equipment Simulation inside Healthcare Units. In: Ambient Intelligence-Software and Applications, Van Berlo, A., K. Hallenborg, J.M.C. Rodriguez, D.I. Tapia and P. Novais (Eds.). Springer, New York, USA., ISBN: 978-3-319-00565-2, pp: 9-16.
55. Salazar, M., J. Duarte, R. Pereira, F. Portela, M.F. Santos, A. Abelha and J. Machado, 2013. Step Towards Paper Free Hospital through Electronic Health Record. In: Advances in Information Systems and Technologies, Rocha, A., A.M. Correia, T. Wilson and K.A. Stroetmann (Eds.). Springer, New York, USA., ISBN: 978-3-642-36980-3, pp: 685-694.
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56. Portela, F., P. Gago, M.F. Santos, J. Machado, A. Abelha, A. Silva and F. Rua, 2013. Implementing a pervasive real-time intelligent system for tracking critical events with intensive care patients. Int. J. Healthcare Inform. Syst. Inform., 8: 1-16.
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57. Portela, F., M.F. Santos, J. Machado, A. Abelha and A. Silva, 2013. Pervasive and Intelligent Decision Support in Critical Health Care Using Ensembles. In: Information Technology in Bio- and Medical Informatics, Bursa, M., S. Khuri and M.E. Renda (Eds.). Springer, New York, USA., ISBN: 978-3-642-40092-6, pp: 1-16.
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58. Portela, F., M.F. Santos, A. Silva, F. Rua, A. Abelha and J. Machado, 2013. Adoption of pervasive intelligent information systems in intensive medicine. Procedia Technol., 9: 1022-1032.
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59. Portela, F., M.F. Santos, A. Silva, A. Abelha and J. Machado, 2013. Pervasive Ensemble Data Mining Models to Predict Organ Failure and Patient Outcome in Intensive Medicine. In: Knowledge Discovery, Knowledge Engineering and Knowledge Management, Fred, A., J.L.G. Dietz, K. Liu and J. Filipe (Eds.). Springer, New York, USA., ISBN: 978-3-642-54104-9, pp: 410-425.
60. Portela, F., M. Santos, J. Machado, A. Abelha, A. Silva and F. Rua, 2013. Real-time decision support in intensive medicine: An intelligent approach for monitoring data quality. J. Med. Bioeng., 2: 26-31.
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61. Portela, F., A. Cabral, A. Abelha, M. Salazar and C. Quintas et al., 2013. Knowledge Acquisition Process for Intelligent Decision Support in Critical Health Care. In: Information Systems and Technologies for Enhancing Health and Social Care, Martinho, R., R. Rijo and M.M. Cruz-Cunha (Eds). Chapter 4, IGI Global Book, USA., ISBN-13: 9781466636675, pp: 55-68.
62. Pontes, G., C.F. Portela, R. Rodrigues, M.F. Santos, J. Neves, A. Abelha and J. Machado, 2013. Modeling Intelligent Agents to Integrate a Patient Monitoring System. In: Trends in Practical Applications of Agents and Multiagent Systems, Perez, J.B., J.M.C. Rodriguez, J. Fahndrich, P. Mathieu and A. Campbell et al. (Eds.). Springer, New York, USA., ISBN: 978-3-319-00562-1, pp: 139-146.
63. Pereira, R., M. Salazar, A. Abelha and J. Machado, 2013. SWOT Analysis of a Portuguese Electronic Health Record. In: Collaborative, Trusted and Privacy-Aware e/m-Services, Douligeris, C., N. Polemi, A. Karantjias and W. Lamersdorf (Eds.). Springer, New York, USA., ISBN-13: 9783642374371, pp: 169-177.
64. Peixoto, H., A. Abelha, M. Santos and J. Machado, 2013. A preventive action management platform in healthcare information systems. Int. J. Reliable Qual. E-Healthcare, 2: 16-29.
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65. Oliveira, R., S. Frutuoso, J. Machado, M. Santos, F. Portela and A. Abelha, 2013. Step towards m-health in pediatrics. Procedia Technol., 9: 1192-1200.
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66. Miranda, M., J. Machado, A. Abelha and J. Neves, 2013. Healthcare Interoperability through a JADE based Multi-agent Platform. In: Intelligent Distributed Computing VI, Fortino, G., C. Badica, M. Malgeri and R. Unland (Eds.). Springer, New York, USA., ISBN: 978-3-642-32523-6, pp: 83-88.
67. Marins, F., L. Cardoso, F. Portela, M. Santos, A. Abelha and J. Machado, 2013. Intelligent Information System to Tracking Patients in Intensive Care Units. In: Ubiquitous Computing and Ambient Intelligence. Context-Awareness and Context-Driven Interaction, Urzaiz, G., S.F. Ochoa, J. Bravo, L.L. Chen and J. Oliveira (Eds.). Springer, New York, USA., ISBN: 978-3-319-03175-0, pp: 54-61.
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68. Goncalves, J.M., F. Portela, M.F. Santos, A. Silva, J. Machado and A. Abelha, 2013. Predict Sepsis Level in Intensive Medicine-Data Mining Approach. In: Advances in Information Systems and Technologies, Rocha, A., A.M. Correia, T. Wilson and K.A. Stroetmann (Eds.). Springer, New York, USA., ISBN: 978-3-642-36980-3, pp: 201-211.
69. Vicente, H., S. Dias, A. Fernandes, A. Abelha, J. Machado and J. Neves, 2012. Prediction of the quality of public water supply using artificial neural networks. J. Water Supply: Res. Technol.-AQUA, 61: 446-459.
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70. Vicente, H., C. Couto, J. Machado, A. Abelha and J. Neves, 2012. Prediction of Water Quality Parameters in a Reservoir using Artificial Neural Networks. Int. J. Des. Nat. Ecodyn., 7: 310-319.
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71. Portela, F., P. Gago, M.F. Santos, J. Machado and A. Abelha et al., 2012. Intelligent and Real Time Data Acquisition and Evaluation to Determine Critical Events in Intensive Medicine. Procedia Technol., 5: 716-724.
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72. Portela, F., M.F. Santos, J. Machado, A. Silva, F. Rua and A. Abelha, 2012. Intelligent Data Acquisition and Scoring System for Intensive Medicine. In: Information Technology in Bio- and Medical Informatics, Bohm, C., S. Khuri, L. Lhotska and M.E. Renda (Eds.). Springer, New York, USA., ISBN: 978-3-642-32394-2, pp: 1-15.
73. Peixoto, H., J. Duarte, A. Abelha, M. Santos and J. Machado, 2012. ScheduleIT-Open-Source Preventive Actions Management Plataform in Healthcare Information Systems. Procedia Technol., 5: 734-742.
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74. Neves, J., J. Ribeiro, P. Pereira, V. Alves and J. Machado et al., 2012. Evolutionary intelligence in asphalt pavement modeling and quality-of-information. Prog. Artif. Intell., 1: 119-135.
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75. Miranda, M., M. Salazar, F. Portela, M. Santos and A. Abelha et al., 2012. Multi-agent Systems for HL7 Interoperability Services. Procedia Technol., 5: 725-733.
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76. Couto, C., H. Vicente, J. Machado, A. Abelha and J. Neves, 2012. Water Quality Modeling using Artificial Intelligence-Based Tools. Int. J. Des. Nat. Ecodyn., 7: 300-309.
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77. Miranda, M., J. Machado, A. Abelha, J. Neves and J. Neves, 2011. Evolutionary Intelligence in Agent Modeling and Interoperability. In: Ambient Intelligence-Software and Applications, Novais, P., D. Preuveneers and J.M. Corchado (Eds.). Springer, New York, USA., ISBN: 978-3-642-19936-3, pp: 253-257.
78. Novais, P., F. Andrade, J. Machado and J. Neves, 2010. Agents, Trust and Contracts. In: Information Communication Technology Law, Protection and Access Rights: Global Approaches and Issues, Portela, I.M. and M.M. Cruz-Cunha (Eds.). Chapter 12, IGI Global, USA., ISBN-13: 978-1615209750, pp: 188-199.
79. Machado, J., A. Abelha, P. Novais, J. Neves and J. Neves, 2010. Quality of Service in Healthcare Units. Int. J. Comput. Aided Eng. Technol., 2: 436-449.
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80. Andrade, F., P. Novais, J. Machado and J. Neves, 2010. Software Agents and Virtual Organisations: Consent and Trust. Int. J. Serv. Oper. Manage., 6: 352-361.
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81. Santos, M.F., F. Portela, M. Vilas-Boas, J. Machado and A. Abelha et al., 2009. Information Architecture for Intelligent Decision Support in Intensive Medicine. WSEAS Trans. Comput., 8: 810-819.
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82. Marreiros, G., C. Ramos, J. Machado and J. Neves., 2009. Argument-Based Decision Making in Ambient Intelligence Environments. Int. J. Reasoning-based Intell. Syst., 1: 182-190.
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83. Neves, J., M. Santos, J. Machado, A. Abelha, S. Allegro and M. Salazar, 2008. Electronic health records and decision support local and global perspectives. WSEAS Trans. Biol. Biomed., 5: 189-198.
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84. Analide, C., P. Novais, J. Machado and J. Neves, 2008. Quality of Knowledge in Virtual Entities. In: Virtual Technologies: Concepts, Methodologies, Tools and Applications, Kisielnicki, J. (Ed.). Chapter 84, IGI Global Books, Hershey, PA., USA., ISBN-13: 978-1599049557, pp: 1360-1367.
85. Analide, C., P. Novais, J. Machado and J. Neves, 2008. Quality of Knowledge in Virtual Entities. In: Knowledge Management: Concepts, Methodologies, Tools and Applications, Jennex, M.E. (Ed.). Chapter 16, IGI Global Books, Hershey, PA., USA., ISBN-13: 9781599049335, pp: 188-194.
86. Machado, J., V. Alves, A. Abelha and J. Neves, 2007. Ambient Intelligence via Multiagent Systems in the Medical arena. Eng. Intell. Syst. Electr. Eng. Commun., 15: 151-157.
87. Andrade, F. P. Novais, J. Machado and J. Neves, 2007. Contracting Agents: Legal Personality and Representation. Artif. Intell. Law, 15: 357-373.
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88. Analide, C., P. Novais, J. Machado and J. Neves, 2006. Quality of Knowledge in Virtual Entities. In: Encyclopedia of Communities of Practice in Information and Knowledge Management, Coakes, E. and S. Clarke (Eds.). IGI Global Books, USA., ISBN-13: 9781591405580, pp: 436-442.
89. Alves, V., J. Machado, A. Abelha and J. Neves, 2005. Agent Based Decision Support Systems in Medicine. WSEAS Trans. Biol. Biomed., 2: 204-213.