Abstract
This paper brings together the multi-agent platform and artificial neural network to create an intelligent decision support system for a group of medical specialists collaborating in the pervasive management of healthcare for chronic patients. Artificial intelligence is employed to support the management of chronic illness through the early identification of adverse trends in the patient’s physiological data. A framework based on software agents that proxy for participants in a home healthcare environment is presented. The proposed approach enables the agent-based home healthcare system to identify the emergent chronic conditions from the patterns of symptoms and allows the appropriate remediation to be initiated and managed transparently.
This research was supported by the Program for the Training of Graduate Students in Regional Innovation which was conducted by the Ministry of Commerce Industry and Energy of the Korean Government.
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Cervantes, L., Lee, YS., Yang, H., Ko, Sh., Lee, J. (2007). Agent-Based Intelligent Decision Support for the Home Healthcare Environment . In: Szczuka, M.S., et al. Advances in Hybrid Information Technology. ICHIT 2006. Lecture Notes in Computer Science(), vol 4413. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77368-9_41
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DOI: https://doi.org/10.1007/978-3-540-77368-9_41
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