Paper Info
Title
Medical event coreference resolution using the UMLS metathesaurus and temporal reasoning
Abstract
We study the problem of medical event coreference resolution in clinical text. Clinical text found in clinical narratives and patient case reports usually reflects a sublanguage with medicine specific terminology. It is also frequently characterized by temporal expressions co-occurring with medical events. In this paper, we outline a method for quantifying the similarity between medical events found in the New England Journal of Medicine patient case reports. We believe this method will be valuable in classifying medical events as coreferential. We approach this problem by determining the overlap between pairs of medical events in terms of 1) the relation between medical events in the UMLS graph structure and 2) the temporal relation between the medical events. We demonstrate our ideas on a corpus of New England Journal of Medicine case reports annotated with coreference information. Preliminary results indicate a precision of 78.5% and recall of 95.5% in identifying pairs of coreferential medical events.
Year
DOI
Venue
2012
10.1145/2110363.2110416
IHI
Keywords
Field
DocType
umls metathesaurus,clinical narrative,medicine patient case report,medical event coreference resolution,new england journal,patient case,medicine case,coreferential medical event,temporal reasoning,clinical text,medical event,coreference information,coreference
Graph,Coreference,Terminology,Information retrieval,Computer science,Temporal expressions,Natural language processing,Artificial intelligence,Umls metathesaurus,Recall,Unified Medical Language System,Sublanguage
Conference
Citations 
PageRank 
References 
1
0.38
6
Authors
4
Name
Order
Citations
PageRank
Preethi Raghavan11119.76
Eric Fosler-Lussier269066.40
Chris Brew332144.44
Albert M. Lai423828.46