Accession Number:

ADA581305

Title:

Retrieving Medical Records with sennamed: NEC Labs America at TREC 2012 Medical Records Track

Descriptive Note:

Conference paper

Corporate Author:

NEC LABORATORIES AMERICA INC PRINCETON NJ

Personal Author(s):

• Qi, Yanjun
• Laquerre, Pierre-Francois

Report Date:

2012-11-01

Pagination or Media Count:

13.0

Abstract:

In this notebook, we describe the automatic retrieval runs from NEC Laboratories America NECLA for the Text REtrieval Conference TREC 2012 Medical Records track. Our approach is based on a combination of UMLS medical concept detection and a set of simple retrieval models. Our best run, sennamed2, has achieved the best inferred average precision infAP score on 5 of the 47 test topics, and obtained a higher score than the median of all submission runs on 27 other topics. Overall, sennamed2 ranks at the second place amongst all the 82 automatic runs submitted for this track, and obtains the third place amongst both automatic and manual submissions.

Descriptors:

• *INFORMATION RETRIEVAL
• AUTOMATIC
• CLINICAL MEDICINE
• FILES(RECORDS)
• SYMPOSIA

Subject Categories:

• Information Science

Distribution Statement:

APPROVED FOR PUBLIC RELEASE