Abstract
The creation of a pervasive and intelligent environment makes possible the remote work with good results in a great range of applications. However, the critical health care is one of the most difficult areas to implement it. In particular Intensive Care Units represent a new challenge for this field, bringing new requirements and demanding for new features that should be satisfied if we want to succeed. This paper presents a framework to evaluate future developments in order to efficiently adapt an Intelligent Decision Support System to a pervasive approach in the area of critical health (INTCare research project).
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References
Gago, P., Santos, M.F., Silva, Á., Cortez, P., Neves, J., Gomes, L.: INTCare: a knowledge discovery based intelligent decision support system for intensive care medicine. Journal of Decision Systems (2006)
Santos, M.F., Portela, F., Vilas-Boas, M., Machado, J., Abelha, A., Neves, J.: INTCARE - Multi-agent approach for real-time Intelligent Decision Support in Intensive Medicine. In: 3rd International Conference on Agents and Artificial Intelligence (ICAART). Springer, Rome (2011)
Santos, M.F., Portela, F., Vilas-Boas, M., Machado, J., Abelha, A., Neves, J., Silva, A., Rua, F.: Information Modeling for Real-Time Decision Support in Intensive Medicine. In: Chen, S.Y., Li, Q. (eds.) Proceedings of the 8th Wseas International Conference on Applied Computer and Applied Computational Science - Applied Computer and Applied Computational Science, pp. 360–365. World Scientific and Engineering Acad and Soc., Athens (2009)
Gago, P., Silva, A., Santos, M.F.: Adaptive decision support for intensive care. In: Conference Adaptive Decision Support for Intensive Care, pp. 415–425. Springer, Berlin (Year)
Portela, F., Vilas-Boas, M., Santos, M.F., Fernando, R.: Improvements in data quality for decision support in Intensive Care. In: eHealth 2010, 3rd International ICST Conference on Electronic Healthcare for the 21st century, Casablanca, Morroco, p. 8 (2010)
Vilas-Boas, M., Santos, M.F., Portela, F., Silva, Á., Rua, F.: Hourly prediction of organ failure and outcome in intensive care based on data mining techniques. In: 12th International Conference on Enterprise Information Systems, Funchal, Madeira, Portugal, p. 9. Springer, Heidelberg (2010)
Villas Boas, M., Gago, P., Portela, F., Rua, F., Silva, Á., Santos, M.F.: Distributed and real time Data Mining in the Intensive Care Unit. In: 19th European Conference on Artificial Intelligence, ECAI 2010, Lisbon, Portugal, p. 5 (2010)
Bricon-Souf, N., Newman, C.R.: Context awareness in health care: A review. International Journal of Medical Informatics 76, 2–12 (2007)
Apostolakos, M.J., Papadakos, P.J.: The Intensive Care Manual. McGraw-Hill Professional, New York (2001)
Suter, P., Armaganidis, A., Beaufils, F., Bonfill, X., Burchardi, H., Cook, D., Fagot-Largeault, A., Thijs, L., Vesconi, S., Williams, A.: Predicting outcome in ICU patients. Intensive Care Medicine 20, 390–397 (1994)
Varshney, U.: Pervasive healthcare and wireless health monitoring. Mobile Networks and Applications 12, 113–127 (2007)
Santos, M.F., Cortez, P., Gago, P., Silva, Á., Rua, F.: Intelligent decision support in Intensive Care Medicine. In: Conference Intelligent decision support in Intensive Care Medicine, pp. 401–405 (Year)
Coiera, E.: When conversation is better than computation. Journal of the American Medical Informatics Association 7, 277 (2000)
Das, S.K., Roy, N.: Learning, Prediction and Mediation of Context Uncertainty in Smart Pervasive Environments. In: Meersman, R., Tari, Z., Herrero, P. (eds.) OTM Workshops 2008. LNCS, vol. 5333, pp. 820–829. Springer, Heidelberg (2008)
Orwat, C., Graefe, A., Faulwasser, T.: Towards pervasive computing in health care - A literature review. BMC Medical Informatics and Decision Making 8, 26 (2008)
Black, J.P., Segmuller, W., Cohen, N., Leiba, B., Misra, A., Ebling, M.R., Stern, E.: Pervasive Computing in Health Care: Smart Spaces and Enterprise Information Systems. In: Conference Pervasive Computing in Health Care: Smart Spaces and Enterprise Information Systems. Citeseer (Year)
Portela, F., Santos, M., Vilas-Boas, M., Rua, F., Silva, Á., Neves, J.: Real-time Intelligent decision support in intensive medicine. In: KMIS 2010, International Conference on Knowledge Management and Information Sharing, Valência, Espanha, p. 7 (2010)
Gago, P., Santos, M.F.: Towards an Intelligent Decision Support System for Intensive Care Units. In: 18th European Conference on Artificial Intelligence, Greece (2008)
Silva, Á., Pereira, J., Santos, M., Gomes, L., Neves, J.: Organ failure prediction based on clinical adverse events: a cluster model approach. In: Conference Organ Failure Prediction based on Clinical Adverse Events: a Cluster Model Approach. ACTA Press (Year)
Silva, Á., Cortez, P., Santos, M.F., Gomes, L., Neves, J.: Multiple organ failure diagnosis using adverse events and neural networks. In: Conference Multiple Organ Failure Diagnosis using Adverse Events and Neural Networks, pp. 401–408. Springer, Heidelberg (Year)
Cook, D.J., Das, S.K.: Smart environments: technologies, protocols, and applications. Wiley Interscience, Hoboken (2005)
Kalli, S., Ambroso, C., Gregory, R., Heikelä, A., Ilomäki, A., Leaning, M., Marraro, G., Mereu, M., Tuomisto, T., Yates, C.: Inform: Conceptual modelling of intensive care information systems. Journal of Clinical Monitoring and Computing 9, 85–94 (1993)
Santos, M.F., Portela, F., Vilas-Boas, M., Machado, J., Abelha, A., Neves, J.: Information Architecture for Intelligent Decision Support in Intensive Medicine. In: 8th WSEAS International Conference on Applied Computer & amp; Applied Computational Science, vol. 8, pp. 810–819 (2009)
Gao, S., Xu, D.: Conceptual modeling and development of an intelligent agent-assisted decision support system for anti-money laundering. Expert Systems with Applications 36, 1493–1504 (2009)
Santos, M., Portela, F., Boas, M., Machado, J., Abelha, A., Neves, J., Silva, A., Rua, F.: Intelligent Decision Support in Intensive Care Units Nursing Information Requirements. In: WSEAS (ed.) Applied Informatics and Communications (AIC 2009), Hangzhou (2009)
O’Donoghue, J., Herbert, J., Sammon, D.: Patient sensors: A data quality perspective. In: Helal, S., Mitra, S., Wong, J., Chang, C., Mokhtari, M. (eds.) ICOST 2008. LNCS, vol. 5120, pp. 54–61. Springer, Heidelberg (2008)
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Portela, C.F., Santos, M.F., Silva, Á., Machado, J., Abelha, A. (2011). Enabling a Pervasive Approach for Intelligent Decision Support in Critical Health Care. In: Cruz-Cunha, M.M., Varajão, J., Powell, P., Martinho, R. (eds) ENTERprise Information Systems. CENTERIS 2011. Communications in Computer and Information Science, vol 221. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24352-3_25
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DOI: https://doi.org/10.1007/978-3-642-24352-3_25
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