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2014 | OriginalPaper | Chapter

A Conceptual Model for Detecting Interactions among Medical Recommendations in Clinical Guidelines

A Case-Study on Multimorbidity

Authors : Veruska Zamborlini, Rinke Hoekstra, Marcos da Silveira, Cédric Pruski, Annette ten Teije, Frank van Harmelen

Published in: Knowledge Engineering and Knowledge Management

Publisher: Springer International Publishing

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Representation of clinical knowledge is still an open research topic. In particular, classical languages designed for representing clinical guidelines, which were meant for producing diagnostic and treatment plans, present limitations such as for re-using, combining, and reasoning over existing knowledge. In this paper, we address such limitations by proposing an extension of the TMR conceptual model to represent clinical guidelines that allows re-using and combining knowledge from several guidelines to be applied to patients with multimorbidities. We provide means to (semi)automatically detect interactions among recommendations that require some attention from experts, such as recommending more than once the same drug. We evaluate the model by applying it to a realistic case study involving 3 diseases (Osteoarthritis, Hypertension and Diabetes) and compare the results with two other existing methods.

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Metadata
Title
A Conceptual Model for Detecting Interactions among Medical Recommendations in Clinical Guidelines
Authors
Veruska Zamborlini
Rinke Hoekstra
Marcos da Silveira
Cédric Pruski
Annette ten Teije
Frank van Harmelen
Copyright Year
2014
Publisher
Springer International Publishing
DOI
https://doi.org/10.1007/978-3-319-13704-9_44

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