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The aim of this paper is to propose a qualitative method for learning a model that represents the closest possible experts reasoning and strategies to provide recommendations of antibiotics. The learned model contains an integrity constraint and a preference formula. The former indicates the features that an antibiotic should have to be recommended. The later indicates the rank of recommendation of an antibiotic.
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