Literature DB >> 30417177

MetaMap is a superior baseline to a standard document retrieval engine for the task of finding patient cohorts in clinical free text.

K Bretonnel Cohen1, Tom Christiansen2, Lawrence E Hunter3.   

Abstract

The goal of this work was to establish a reasonable baseline for research in patient cohort retrieval from clinical free text. Much recent work has used Lucene for this purpose. Our approach was to use MetaMap alone. We found that although many TREC 2011 Electronic Medical Records track participants found it difficult to beat a Lucene baseline, our MetaMap-based baseline did outperform a number of Lucene runs. We propose that MetaMap is a more valid baseline than Lucene, providing essential concept extraction, and that failure to make use of this industry-standard tool results in an unfairly low baseline for evaluation of system outputs.

Entities:  

Year:  2011        PMID: 30417177      PMCID: PMC6221553     

Source DB:  PubMed          Journal:  Text Retr Conf


  3 in total

1.  Effective mapping of biomedical text to the UMLS Metathesaurus: the MetaMap program.

Authors:  A R Aronson
Journal:  Proc AMIA Symp       Date:  2001

2.  Evaluation of negation phrases in narrative clinical reports.

Authors:  W W Chapman; W Bridewell; P Hanbury; G F Cooper; B G Buchanan
Journal:  Proc AMIA Symp       Date:  2001

3.  A simple algorithm for identifying negated findings and diseases in discharge summaries.

Authors:  W W Chapman; W Bridewell; P Hanbury; G F Cooper; B G Buchanan
Journal:  J Biomed Inform       Date:  2001-10       Impact factor: 6.317

  3 in total
  3 in total

1.  Development and empirical user-centered evaluation of semantically-based query recommendation for an electronic health record search engine.

Authors:  David A Hanauer; Danny T Y Wu; Lei Yang; Qiaozhu Mei; Katherine B Murkowski-Steffy; V G Vinod Vydiswaran; Kai Zheng
Journal:  J Biomed Inform       Date:  2017-01-25       Impact factor: 6.317

2.  Learning relevance models for patient cohort retrieval.

Authors:  Travis R Goodwin; Sanda M Harabagiu
Journal:  JAMIA Open       Date:  2018-09-28

3.  Improving biomedical information retrieval by linear combinations of different query expansion techniques.

Authors:  Ahmed AbdoAziz Ahmed Abdulla; Hongfei Lin; Bo Xu; Santosh Kumar Banbhrani
Journal:  BMC Bioinformatics       Date:  2016-07-25       Impact factor: 3.169

  3 in total

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