Dr. Jose Manuel Ferreira Machado

Lecturer
University of Minho, Portugal

Highest Degree
Ph.D. in Artificial Intelligence from University of Minho, Portugal

My URL
https://livedna.org/351.5041

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Area of Interest:

Computer Sciences
Biomedical Informatics
Artificial Intelligence
Multi-Agent Systems
Knowledge Representation

Selected Publications

  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.
    Direct Link  |  

  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.
    Direct Link  |  

  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.
    CrossRef  |  Direct Link  |  

  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.
    CrossRef  |  Direct Link  |  

  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.
    Direct Link  |  

  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.
    CrossRef  |  Direct Link  |  

  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.
    CrossRef  |  Direct Link  |  

  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.
    CrossRef  |  

  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.
    CrossRef  |  

  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.
    CrossRef  |  Direct Link  |  

  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.
    CrossRef  |  Direct Link  |  

  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.
    CrossRef  |  Direct Link  |  

  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.
    CrossRef  |  Direct Link  |  

  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.
    CrossRef  |  Direct Link  |  

  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.
    Direct Link  |  

  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.
    CrossRef  |  

  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.
    CrossRef  |  Direct Link  |  

  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.
    CrossRef  |  Direct Link  |  

  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.
    CrossRef  |  

  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.
    CrossRef  |  Direct Link  |  

  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.
    CrossRef  |  Direct Link  |  

  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.
    CrossRef  |  Direct Link  |  

  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.
Member since March, 2017