Abstract
The growing numbers of elderly and dependent people leads to utilize Remote Healthcare Monitoring Systems (RHMS). RHMS are decision support systems where data collected from vital signs and home environmental sensors need to be analyzed using data mining techniques. Visualization allows gain insight into these data and the extracted knowledge. The aim of this paper is to introduce a visual intelligent RHMS. To design such real-time, complex and distributed system we propose to employ the Multi-Agent coordination technology. The proposed approach is illustrated and evaluated to assess the developed RHMS ability to improve the monitoring performance.
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References
Barley, M., Kasabov, N.: Intelligent Agents And Multi-Agent Systems, 6th Pacific Rim International Workshop On Multi-Agent. Springer, Berlin (2005)
Choi, J., Park, J.W., Chung, J., Min, B.G.: An intelligent remote monitoring system for artificial heart. IEEE Trans. Inf Technol. Biomed. 9(4), 564–573 (2005)
Mladenic, D., Lavrac, N., Bohanec, M., Moyle, S.: Data mining and Decision Support: Integration and Collaboration, p. 304. Springer-Verlag New York Inc., New York (2012)
Ltifi, H., Ben Ayed, M., Trabelsi, G., Alimi, A.M.: Using perspective wall to visualize medical data in the intensive care unit. IEEE 12th International Conference on Data Mining Workshops, IEEE Computer Society, pp. 72–78. Brussels, Belgium (2012)
Ltifi, H., Ben Mohamed, E., Ben Ayed, M.: Interactive visual KDD based temporal decision support system. Inf. Vis. 14(1), 1–20 (2015)
Daassi, C.: Interaction techniques with space time data. Ph.D. thesis in Computer Science from Joseph-Fourier University of Grenoble, France (2003)
Purbey, S., Mukherjee, K., Bhar, C.: Performance measurement system for healthcare processes. Int. J. Prod. Perform. Manage. 56(3), 241–251 (2007)
Iamsumang, C., Mosleh, A., Modarres, M.: Hybrid DBN monitoring and anomaly detection algorithms for on-line SHM. IEEE 2015 Annual Reliability and Maintainability Symposium (RAMS), pp. 1–7, Palm Harbor, FL (2015)
Ltifi, H., Lepreux, S., Ben Ayed, M., Alimi, M.A.: Survey of Information Visualization Techniques for Exploitation in KDD, the 7th AICCSA-2009, Morocco, pp. 218–225 (2009)
Jennings, N.: On agent-based software engineering. Artif. Intell. 117(2), 277–296 (2000)
Ltifi, H., Trabelsi, G., Ben Ayed, M., Alimi, A.M.: Dynamic decision support system based on bayesian networks, application to fight against the nosocomial infections. IJARAI 1(1), 22–29 (2012)
Ltifi, H., Kolski, C., Ben Ayed, M., Alimi, M.A.: Human-centered design approach for developing dynamic decision support system based on knowledge discovery in databases. J. Decis. Syst. 22(2), 69–96 (2013)
Plaisant, C., Mushlin, R., Snyder, A., et al.: Lifelines: using visualisation to enhance navigation and analysis of patient records. Proceedings of AMIA ‘98, pp. 76–80 (1998)
Palmius, J.: Criteria for measuring and comparing information systems. The 30th Information Systems Research Seminar in Scandinavia IRIS, pp. 1–15 (2007)
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Jemmaa, A.B., Ltifi, H., Ayed, M.B. (2016). Multi-agent Architecture for Visual Intelligent Remote Healthcare Monitoring System. In: Abraham, A., Han, S., Al-Sharhan, S., Liu, H. (eds) Hybrid Intelligent Systems. HIS 2016. Advances in Intelligent Systems and Computing, vol 420. Springer, Cham. https://doi.org/10.1007/978-3-319-27221-4_18
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DOI: https://doi.org/10.1007/978-3-319-27221-4_18
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