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Using multi-anchors to identify patients suffering from multimorbidities
We propose a data-driven approach to identify the health status of chronically ill patients using data extracted from their electronic health records using a multi-anchor learning framework. Expand
A decision aiding methodology to compare patient classification systems
In this paper we develop a methodology to assist decision-makers who are charged with evaluating and determining replacement PCS in the context of scarce resources and limited hospital funding. Expand