Evidence map›Paper›PMID 23304283›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2012

Building gold standard corpora for medical natural language processing tasks.

Louise Deleger, Qi Li, Todd Lingren, Megan Kaiser, Katalin Molnar, Laura Stoutenborough, Michal Kouril, Keith Marsolo, Imre Solti

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 1 pooled it
–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

43 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  16. Toward Clinical-Grade Evaluation of Large Language Models.International journal of radiation oncology, biology, physics · 2024
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  19. Trustworthy assertion classification through prompting.Journal of biomedical informatics · 2022
    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

9 authors.

Louise DelegerDivision of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Qi Li
Todd Lingren
Megan Kaiser
Katalin Molnar
Laura Stoutenborough
Michal Kouril
Keith Marsolo
Imre Solti

Funding

Cincinnati Center for Clinical and Translational Sciences and TrainingUL1TR000077 · NCATS · UNIVERSITY OF CINCINNATI · PI HEUBI, JAMES E. · 2012 to 2014
$9.9M
Increasing Clinical Trial Enrollment: A Semi-Automated Patient Centered ApproachR00LM010227 · NLM · CINCINNATI CHILDRENS HOSP MED CTR · PI SOLTI, IMRE · 2010 to 2012
$727k
EHR-based patient safety: Automated error detection in neonatal intensive careR21HD072883 · NICHD · CINCINNATI CHILDRENS HOSP MED CTR · PI SOLTI, IMRE · 2012 to 2013
$407k
Increasing Clinical Trial Enrollment: A Semi-Automated Patient Centered ApproachK99LM010227 · NLM · UNIVERSITY OF WASHINGTON · PI SOLTI, IMRE · 2009 to 2009
$84k
NCATS NIH HHS UL1 TR000077NICHD NIH HHS R21 HD072883NLM NIH HHS 5R00LM010227-04NLM NIH HHS K99 LM010227NLM NIH HHS R00 LM010227
6 · The paper itself

Abstract

We present the construction of three annotated corpora to serve as gold standards for medical natural language processing (NLP) tasks. Clinical notes from the medical record, clinical trial announcements, and FDA drug labels are annotated. We report high inter-annotator agreements (overall F-measures between 0.8467 and 0.9176) for the annotation of Personal Health Information (PHI) elements for a de-identification task and of medications, diseases/disorders, and signs/symptoms for information extraction (IE) task. The annotated corpora of clinical trials and FDA labels will be publicly released and to facilitate translational NLP tasks that require cross-corpora interoperability (e.g. clinical trial eligibility screening) their annotation schemas are aligned with a large scale, NIH-funded clinical text annotation project.

Indexed as

Natural Language ProcessingClinical Trials as TopicDrug LabelingMedical RecordsSoftwareUnited StatesUnited States Food and Drug Administration

Identifiers

PMID23304283
PMCPMC3540456

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.