Description
| Title | Analyzing Recommendations Interactions in Clinical Guidelines |
| Abstract | Accounting for patients with multiple health conditions is a complex task that requires analysing potential interactions among recommendations meant to address each condition. Although some approaches have been proposed to address this issue, important features still require more investigation, such as (re)usability and scalability. To this end, this paper presents an approach that relies on reusable rules for detecting interactions among recommendations coming from various guidelines. It extends previously proposed models by introducing the notions of action type hierarchy and causation beliefs, and provides a systematic analysis of relevant interactions in the context of multimorbidity. Finally, the approach is assessed based on a case-study taken from the literature to highlight the added value of the approach. |
Other presentations by Veruska Zamborlini
| Date | Title |
|---|---|
| 09 September 2013 | Preliminary studies on the formalisation of Clinical Guidelines |
| 17 February 2014 | Knowledge Representation for Clinical Guidelines |
| 01 December 2014 | Inferring Recommendation Interactions in Clinical Guidelines |
| 22 June 2015 | Analyzing Recommendations Interactions in Clinical Guidelines |
| 07 March 2016 | Generalizing the Detection of Interactions in Clinical Guidelines |
| 07 November 2016 | Knowledge-driven Paper Retrieval to support updating of Clinical Guidelines |
| 30 October 2017 | Golden Agents Project - Investigating production x consumption of (Im)material Cultural Heritage of the Dutch Golden Age |
| 03 December 2018 | Identity Clusters Quality Estimation Under Low Power Discriminative Identity Criteria |