Leveraging intelligent agents for knowledge discovery from heterogeneous healthcare data repositories.
This paper presents a case for an intelligent agent based framework for knowledge discovery in a distributed healthcare environment comprising multiple heterogeneous healthcare data repositories. Data-mediated knowledge discovery, especially from multiple heterogeneous data resources, is a tedious process and imposes significant operational constraints on end-users. We demonstrate that autonomous, reactive and proactive intelligent agents provide an opportunity to generate end-user oriented, packaged, value-added decision-support/strategic planning services for healthcare professionals, manages and policy makers, without the need for a priori technical knowledge. Since effective healthcare is grounded in good communication, experience sharing, continuous learning and proactive actions, we use intelligent agents to implement an Agent based Data Mining Infostructure that provides a suite of healthcare-oriented decision-support/strategic planning services.
Zaidi
Syed Zahid Hassan
SZ
Health Informatics Research Group, School of Computer Sciences, Universiti Sains Malaysia, Penang.
Abidi
Syed Sibte Raza
SS
Manickam
Selvakumar
S
D017598:Efficiency, Organizational; D016247:Information Storage and Retrieval / Q000379:methods*; D008490:Medical Informatics; D014584:User-Computer Interface