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Identifying Treatment Activities for Modelling Computer-Interpretable Clinical Practice Guidelines

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Knowledge Representation for Health-Care (KR4HC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6512))

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Abstract

Clinical practice guidelines are important instruments to support clinical care. In this work we analysed how activities are formulated in these documents and we tried to represent the activities using patterns based on semantic relations. For this we used the Unified Medical Language System (UMLS) and in particular its Semantic Network. Out of it we generated a collection of semantic patterns that can be used to automatically identify activities. In a study we showed that these semantic patterns can cover a large part of the control flow. Using such patterns cannot only support the modelling of computer-interpretable clinical practice guidelines, but can also improve the general comprehension which treatment procedures have to be accomplished. This can also lead to improved compliance of clinical practice guidelines.

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Kaiser, K., Seyfang, A., Miksch, S. (2011). Identifying Treatment Activities for Modelling Computer-Interpretable Clinical Practice Guidelines. In: Riaño, D., ten Teije, A., Miksch, S., Peleg, M. (eds) Knowledge Representation for Health-Care. KR4HC 2010. Lecture Notes in Computer Science(), vol 6512. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18050-7_9

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  • DOI: https://doi.org/10.1007/978-3-642-18050-7_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-18049-1

  • Online ISBN: 978-3-642-18050-7

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