Title | ||
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Reasoning with effects of clinical guideline actions using OWL: AL amyloidosis as a case study |
Abstract | ||
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We developed an ontology that allows representation and reasoning with effects of clinical actions. The ontology can support three important use-cases: (1) summarization and explanation of observed clinical states, (2) enhancing patient safety using safety rules, and (3) assessing guideline compliance. In this paper we focus on explanation of observed clinical states based on abductive reasoning that utilizes a causal network. We demonstrate our approach using examples taken from a guideline for management of amyloidosis. |
Year | DOI | Venue |
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2011 | 10.1007/978-3-642-27697-2_5 | KR4HC |
Keywords | Field | DocType |
al amyloidosis,safety rule,important use-cases,clinical guideline action,observed clinical state,patient safety,clinical action,abductive reasoning,case study,guideline compliance,causal network | Automatic summarization,Ontology,Patient safety,Computer science,Knowledge management,AL amyloidosis,Natural language processing,Artificial intelligence,Abductive reasoning,Guideline,Causal model | Conference |
Citations | PageRank | References |
2 | 0.42 | 15 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mor Peleg | 1 | 1135 | 110.07 |
Samson W Tu | 2 | 1228 | 178.21 |
Giorgio Leonardi | 3 | 179 | 20.36 |
S Quaglini | 4 | 488 | 71.94 |
Paola Russo | 5 | 2 | 0.42 |
Giovanni Palladini | 6 | 2 | 0.42 |
Giampaolo Merlini | 7 | 2 | 0.42 |