Evidence map›Paper›PMID 17329729›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA

Essie: a concept-based search engine for structured biomedical text.

Nicholas C Ide, Russell F Loane, Dina Demner-Fushman

Abstract readEvaluation Study
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed.

  1. Clinical Information Retrieval: A Literature Review.Journal of healthcare informatics research · 2024
    Article
  2. Effects of Porting Essie Tokenization and Normalization to Solr.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2023
    Article
  3. The Unified Medical Language System SPECIALIST Lexicon and Lexical Tools: Development and applications.Journal of the American Medical Informatics Association : JAMIA · 2020
    Article
  4. A manual corpus of annotated main findings of clinical case reports.Database : the journal of biological databases and curation · 2019
    Article
  5. Article
  6. Article
  7. Article
  8. Evaluation of Clinical Text Segmentation to Facilitate Cohort Retrieval.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2017
    Article
  9. Article
  10. Article
  11. Automated identification of molecular effects of drugs (AIMED).Journal of the American Medical Informatics Association : JAMIA · 2016
    Article
  12. Article
  13. Literature-based biomedical image classification and retrieval.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2015
    Article
  14. Article
  15. Evaluating performance of biomedical image retrieval systems--an overview of the medical image retrieval task at ImageCLEF 2004-2013.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2015
    Review
  16. Article
  17. Article
  18. Article
  19. Improving Software Sustainability: Lessons Learned fromArchiving : final program and proceedings. IS & T's Archiving Conference · 2013
    Article
  20. Leveraging user query sessions to improve searching of medical literature.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2013
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Nicholas C IdeLister Hill National Center for Biomedical Communications, National Library of Medicine, Bethesda, MD 20894, USA. ide@nlm.nih.gov
Russell F Loane
Dina Demner-Fushman

Funding

ClinicalTrial Registration and Results ReportingZIALM008926 · NLM · NATIONAL LIBRARY OF MEDICINE · PI ZARIN, DEBORAH · 2009 to 2014
$4.3M
ClinicalTrial Registration and Results ReportingZ01LM008926 · NLM · NATIONAL LIBRARY OF MEDICINE · PI ZARIN, DEBORAH · 2008 to 2008
$938k
6 · The paper itself

Abstract

This article describes the algorithms implemented in the Essie search engine that is currently serving several Web sites at the National Library of Medicine. Essie is a phrase-based search engine with term and concept query expansion and probabilistic relevancy ranking. Essie's design is motivated by an observation that query terms are often conceptually related to terms in a document, without actually occurring in the document text. Essie's performance was evaluated using data and standard evaluation methods from the 2003 and 2006 Text REtrieval Conference (TREC) Genomics track. Essie was the best-performing search engine in the 2003 TREC Genomics track and achieved results comparable to those of the highest-ranking systems on the 2006 TREC Genomics track task. Essie shows that a judicious combination of exploiting document structure, phrase searching, and concept based query expansion is a useful approach for information retrieval in the biomedical domain.

Indexed as

Abstracting and IndexingAlgorithmsUser-Computer InterfaceGenomicsInformation Storage and RetrievalNational Library of Medicine (U.S.)SoftwareUnified Medical Language SystemUnited States

Identifiers

PMID17329729
PMCPMC2244877

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.