A Hybrid Design for Medical Decision Support using Data Mining to Impute Missing Data

In this paper, we present a framework which enables medical decision making in the presence of partial information, leveraging ontological representations and machine learning techniques to enhance existing patient datasets. We demonstrate its eectiveness on real world data and sketch its use

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