Mining Distributed and Heterogeneous Data Sources: A Project in the Medical Domain

K. Hristofis, George Potamias, Manolis Tsiknakis, Vassilis S. Moustakis, Stelios C. Orphanoudakis, Vassilika Vouton · 2000

This paper presents the problem of discovering and acquiring knowledge form D&H clinical data sources. In particular, we tackle the problem of inducing interesting associations between data items stored in remote clinical information systems. The test-bed environment of our approach is the HYGEIAnet: The Integrated Health Care Network of Crete (Tsiknakis, 1997; HYGEIAnet Web site). One of the basic healthcare services offered within the HYGEIAnet network is the access to patients' clinical information stored in autonomous (legacy) clinical information systems. Even if the focus is on the medical domain, the proposed methodology and solutions could be smoothly extended to cover the general case of other application domains

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