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Identifying Experts Reasoning in Antibiotic Treatment with Preference Learning
Karima Sedki, Chaymae Lakrafli, Jean-Baptiste Lamy, Rosy Tsopra
1313 - 1314
10.3233/SHTI200418
Research Article
Studies in Health Technology and Informatics
Volume 270: Digital Personalized Health and Medicine
Abstract

The aim of this paper is to propose an approach based on preference learning for building a model that represents the closest possible experts reasoning to provide recommendations. We apply this method to antibiotherapy in primary care. The preference model was learned from the recommendations and from a database describing the domain.

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