Name
Abstract | ||
|---|---|---|
In medical records, negative qualifiers, e.g. no or without, are commonly used by health practitioners to identify the absence of a medical condition. Without considering whether the term occurs in a negative or positive context, the sole presence of a query term in a medical record is insufficient to imply that the record is relevant to the query. In this paper, we show how to effectively handle such negation within a medical records information retrieval system. In particular, we propose a term representation that tackles negated language in medical records, which is further extended by considering the dependence of negated query terms. We evaluate our negation handling technique within the search task provided by the TREC Medical Records 2011 track. Our results, which show a significant improvement upon a system that does not consider negated context within records, attest the importance of handling negation. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1145/2348283.2348471 | SIGIR |
Keywords | Field | DocType |
medical record,medical records information retrieval,medical condition,exploiting term dependence,negation handling technique,negative qualifier,health practitioner,trec medical records,term representation,medical search,query term,positive context,information retrieval system,medical records,negation | Data mining,Negation,Information retrieval,Computer science,Medical search,Medical record | Conference |
Citations | PageRank | References |
19 | 0.93 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nut Limsopatham | 1 | 172 | 14.86 |
| Craig Macdonald | 2 | 2588 | 178.50 |
| Richard Mccreadie | 3 | 403 | 32.43 |
| Iadh Ounis | 4 | 3438 | 234.59 |