AMIA Annu Symp Proc - Application of a temporal reasoning framework tool in analysis of medical device adverse events.

Tópicos

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Resumo

The Clinical Narrative Temporal Relation Ontology (CNTRO)1 project offers a semantic-web based reasoning framework, which represents temporal events and relationships within clinical narrative texts, and infer new knowledge over them. In this paper, the CNTRO reasoning framework is applied to temporal analysis of medical device adverse event files. One specific adverse event was used as a test case: late stent thrombosis. Adverse event narratives were obtained from the Food and Drug Administration's (FDA) Manufacturing and User Facility Device Experience (MAUDE) database2. 15 adverse event files in which late stent thrombosis was confirmed were randomly selected across multiple drug eluting stent devices. From these files, 81 events and 72 temporal relations were annotated. 73 temporal questions were generated, of which 65 were correctly answered by the CNTRO system. This results in an overall accuracy of 89%. This system should be pursued further to continue assessing its potential benefits in temporal analysis of medical device adverse events.

Resumo Limpo

clinic narrat tempor relat ontolog cntro project offer semanticweb base reason framework repres tempor event relationship within clinic narrat text infer new knowledg paper cntro reason framework appli tempor analysi medic devic advers event file one specif advers event use test case late stent thrombosi advers event narrat obtain food drug administr fda manufactur user facil devic experi maud databas advers event file late stent thrombosi confirm random select across multipl drug elut stent devic file event tempor relat annot tempor question generat correct answer cntro system result overal accuraci system pursu continu assess potenti benefit tempor analysi medic devic advers event

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