TY - GEN
T1 - Analyzing Recommendations Interactions in Clinical Guidelines
T2 - 15th Conference on Artificial Intelligence in Medicine (AIME 2015)
AU - Carretta Zamborlini, Veruska
AU - Da Silveira, Marcos
AU - Pruski, Cedric
AU - ten Teije, Annette
AU - van Harmelen, Frank
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
KW - Clinical knowledge representation
KW - Combining medical guidelines
KW - Multimorbidity
UR - http://www.scopus.com/inward/record.url?scp=84947997911&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84947997911&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-19551-3_40
DO - 10.1007/978-3-319-19551-3_40
M3 - Conference contribution
SN - 9783319195506
VL - 9105
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 317
EP - 326
BT - Artificial Intelligence in Medicine - 15th Conference on Artificial Intelligence in Medicine, AIME 2015, Proceedings
PB - Springer/Verlag
Y2 - 17 June 2015 through 20 June 2015
ER -