Abstract
Most heterogeneous Clinical Information Systems share a strong semantic similarity in spite of their autonomy and heterogeneity. To exploit this semantic similarity, we propose a concept discovery approach based on statistical clustering techniques to develop a generic conceptual schema to establish interoperability. The usage pattern of users is not just statistical information, but carries contextual information that can be exploited during the concept discovery process.
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