Agent-based intelligent decision support for the home healthcare environment

Authors:
Louie Cervantes;Yong-Seok Lee;Hyunho Yang;Sung-hyun Ko;Jaewan Lee
Affiliations:
School of Electronic and Information Engineering, Kunsan National University, Chonbuk, South Korea;School of Electronic and Information Engineering, Kunsan National University, Chonbuk, South Korea;School of Electronic and Information Engineering, Kunsan National University, Chonbuk, South Korea;School of Electronic and Information Engineering, Kunsan National University, Chonbuk, South Korea;School of Electronic and Information Engineering, Kunsan National University, Chonbuk, South Korea
Venue:
ICHIT'06 Proceedings of the 1st international conference on Advances in hybrid information technology
Year:
2006

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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.