Evidence map›Paper›PMID 26515500›Full record

ArticleJournal of biomedical informatics2015

Practical applications for natural language processing in clinical research: The 2014 i2b2/UTHealth shared tasks.

Özlem Uzuner, Amber Stubbs

Abstract readConference ProceedingsEditorial
In one paragraph

Article in Journal of biomedical informatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. De-identification of Clinical Text via Bi-LSTM-CRF with Neural Language Models.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2019
    Article
  11. Integrating Structured and Unstructured EHR Data Using an FHIR-based Type System: A Case Study with Medication Data.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2018
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

2 authors.

Özlem UzunerDepartment of Information Studies, State University of New York at Albany, Albany, NY, USA. Electronic address: ouzuner@albany.edu.
Amber StubbsSchool of Library and Information Science, Simmons College, Boston, MA, USA. Electronic address: stubbs@simmons.edu.

Funding

Informatics for Integrating Biology/ the Bedside (RMI)U54LM008748 · NLM · BRIGHAM AND WOMEN'S HOSPITAL · PI KOHANE, ISAAC S. · 2004 to 2013
$39.0M
Natural language processing for clinical and translational researchR01GM102282 · NIGMS · MAYO CLINIC ROCHESTER · PI LIU, HONGFANG, PAKHOMOV, SERGUEI VS · 2013 to 2016
$2.5M
Challenges in Natural Language Processing in Clinical TextR13LM011411 · NLM · STATE UNIVERSITY OF NEW YORK AT ALBANY · PI UZUNER, OZLEM · 2012 to 2016
$98k
NIGMS NIH HHS 5R01GM102282NIGMS NIH HHS R01 GM102282NLM NIH HHS 2U54LM008748NLM NIH HHS 5R13LM011411NLM NIH HHS R13 LM011411NLM NIH HHS U54 LM008748
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Machine LearningNarrationNatural Language ProcessingBiomedical ResearchElectronic Health RecordsInformation Storage and RetrievalMedical Record LinkagePattern Recognition, AutomatedTerminology as TopicVocabulary, Controlled

Identifiers

PMID26515500
PMCPMC4978169

What OpenQuestion holds

Textmetadata
LicenceTDM
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.