Information architecture for intelligent decision support in intensive medicine

WSEAS Transactions on Computers

Volumn 8, Issue 5, 2009, Pages 810-819

  Santos, M F ^a   Portela, F ^a   Vilas Boas, M ^a   Machado, J ^a   Abelha, A ^a   Neves, J ^a   Silva, A ^b   Rua, Fernando ^b  

^a UNIVERSITY OF MINHO   (Portugal)

^b HOSPITAL DE SANTO ANTÓNIO   (Portugal)

Author keywords

Information models; INTCare; Intelligent decision support systems; Intensive care; Knowledge discovery in databases; Real time data acquisition

Indexed keywords

INFORMATION MODELS; INTCARE; INTELLIGENT DECISION SUPPORT SYSTEMS; INTENSIVE CARE; KNOWLEDGE DISCOVERY IN DATABASES; REAL-TIME DATA ACQUISITION;

ARCHITECTURAL DESIGN; ARTIFICIAL INTELLIGENCE; DATABASE SYSTEMS; DECISION SUPPORT SYSTEMS; DECISION THEORY; INFORMATION RETRIEVAL; INFORMATION SCIENCE; INTENSIVE CARE UNITS; KNOWLEDGE MANAGEMENT; MERGERS AND ACQUISITIONS; REAL TIME SYSTEMS;

DECISION MAKING;

EID: 69549098007     PISSN: 11092750     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (29)

1. M. Mahmoud, "Real-time data acquisition system for monitoring patients in Intensive Care Unit (ICU)," Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2003, vol. 5099, pp. 320-326, 2003.
2. M. Pereira, et al., "Computer aided monitoring system of intensive care unit patients," WSEAS Transactions on Information Science and Applications, vol. 4, pp. 78-84, 2007.
3. Z. Ying, et al., "Real-Time Evaluation of Patient Monitoring Algorithms for Critical Care at the Bedside," in Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE, 2007, pp. 2783-2786.
4. K. Morik, "Data analysis and knowledge validation in intensive care monitoring," 2003.
5. M. F. Santos, et al., "Intelligent decision support in Intensive Care Medicine," in 2nd International Conference on Knowledge Engineering and Decision Support, Lisbon, Portugal, 2006, pp. 401-405.
6. P. Gago, et al., "INTCare: a knowledge discovery based intelligent decision support system for intensive care medicine," Journal of Decision Systems, 2006.
7. P. Gago and M. F. Santos, "Towards an Intelligent Decision Support System for Intensive Care Units," presented at the 18th European Conference on Artificial Intelligence, Greece, 2008.
8. P. Gago, et al., "Adaptive decision support for intensive care," in 13th Portuguese Conference on Artificial Intelligence, Guimaraes, PORTUGAL, 2007, pp. 415-425.
9. Á. Silva, et al., "Organ failure prediction based on clinical adverse events: a cluster model approach," 3th International Conference on Artificial Intelligence and Applications, 2003.
10. Á. Silva, et al., "Multiple organ failure diagnosis using adverse events and neural networks," in 6 th International Conference on Enterprise Information Systems, 2004, pp. 401-408.
11. E. Turban, et al., Decision Support Systems and Intelligent Systems, 7 ed.: Prentice Hall, 2005.
12. D. Arnott and G. Pervan, "A critical analysis of decision support systems research," in Conference on Decision Support Systems, Prato, ITALY, 2004, pp. 67-87.
13. Z. Michalewicz, et al., Adaptive Business Intelligence: Springer, 2007.
14. S. Negash and P. Gray, "Business Intelligence," Communications of the Association for Information Systems, vol. 13, pp. 177-195, 2004.
15. W. J. Frawley, et al., "Knowledge Discovery in Databases: An Overview," AI Magazine, vol. 13, pp. 57-70, 1992.
16. U. M. Fayyad, et al., "From data mining to knowledge discovery: an overview," 1996.
17. A. Lourenco and O. Belo, "Promoting agent-based knowledge discovery in medical intensive care units," WSEAS Transactions on Computers, vol. 2, pp. 403-408, 2003.
18. Á. Silva, "Modelos de Inteligência Artificial na análise da monitorização de eventos clínicos adversos, Disfunção/Falência de órgãos e prognóstico do doente critico," Doutoramento, Ciências Médicas, Universidade do Porto, Porto, 2007.
19. J. B. Hall, et al., Principles of Critical Care: McGraw-Hill's AccessMedicine, 2005.
20. J. Ramon, et al., "Mining data from intensive care patients," Advanced Engineering Informatics, vol. 21, pp. 243-256, 2007.
21. S. M. Rao and S. T., "Organization of intensive care unit and predicting outcome of critical illness," Indian J. Anaesth, vol. 47 (5), pp. 328-337, 2003.
22. J. Pereira, "Modelos de data mining para multi-previsão: Aplicação à medicina intensiva," Mestrado, Universidade do Minho, Guimarães, 2004.
23. N. R. Jennings, "On agent-based software engineering," Artificial Intelligence, vol. 117, pp. 277-296, 2000.
24. S. Kalli, et al., "Inform: Conceptual modelling of intensive care information systems," Journal of Clinical Monitoring and Computing, vol. 9, pp. 85-94, 1993.
25. T. Fonseca, et al., "Vital Signs in Intensive Care: Automatic Acquisition and Consolidation into Electronic Patient Records," Journal of Medical Systems, vol. 33, p. 11, 2009.
26. A. Abelha, et al., "Health data management in the medical arena," WSEAS-Transactions-on-Computers, 2004.
27. S. Cunningham, et al., "Comparison of nurse and computer charting of physiological variables in an intensive care unit," Journal of Clinical Monitoring and Computing, vol. 13, pp. 235-241, 1996.
28. W. Friesdorf, et al., "Data quality of bedside monitoring in an intensive care unit," Journal of Clinical Monitoring and Computing, vol. 11, pp. 123-128, 1995.
29. D. K. Vawdrey, et al., "Assessing data quality in manual entry of ventilator settings," Journal of the American Medical Informatics Association, vol. 14, pp. 295-303, 2007.