Identifying Experts Reasoning in Antibiotic Treatment with Preference Learning.

Stud Health Technol Inform

INSERM U1138 Team22 Information Science to Support Personalized Medicine, Paris.

Published: June 2020

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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http://dx.doi.org/10.3233/SHTI200418DOI Listing

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