Evidence map›Paper›PMID 21347002›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2010

A semantic and syntactic text simplification tool for health content.

Sasikiran Kandula, Dorothy Curtis, Qing Zeng-Treitler

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Toward Improving Health Literacy in Patient Education Materials with Neural Machine Translation Models.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2023
    Article
  5. MedJEx: A Medical Jargon Extraction Model with Wiki's Hyperlink Span and Contextualized Masked Language Model Score.Proceedings of the Conference on Empirical Methods in Natural Language Processing. Conference on Empirical Methods in Natural Language Processing · 2022
    Article
  6. A survey of automated methods for biomedical text simplification.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  7. Paragraph-level Simplification of Medical Texts.Proceedings of the conference. Association for Computational Linguistics. North American Chapter. Meeting · 2021
    Article
  8. Article
  9. Article
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  11. Article
  12. Article
  13. Article
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  15. Article
  16. Article
  17. Measuring Text Difficulty Using Parse-Tree Frequency.Journal of the Association for Information Science and Technology · 2017
    Article
  18. Article
  19. When synonyms are not enough: Optimal parenthetical insertion for text simplification.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2017
    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

3 authors.

Sasikiran KandulaDepartment of Biomedical Informatics, University of Utah, Salt Lake City, UT.
Dorothy Curtis
Qing Zeng-Treitler

Funding

Vocabulary Support for Consumer Health InformaticsR01LM007222 · NLM · UNIVERSITY OF UTAH · PI ZENG, QING · 2002 to 2010
$1.9M
Improving Health Outcomes through Computer Generation of Reader-Appropriate TextsR01DK075837 · NIDDK · UNIVERSITY OF UTAH · PI ZENG, QING · 2007 to 2009
$1.4M
NIDDK NIH HHS R01 DK075837NLM NIH HHS R01 LM007222
6 · The paper itself

Abstract

Text simplification is a challenging NLP task and it is particularly important in the health domain as most health information requires higher reading skills than an average consumer has. This low readability of health content is largely due to the presence of unfamiliar medical terms/concepts and certain syntactic characteristics, such as excessively complex sentences. In this paper, we discuss a simplification tool that was developed to simplify health information. The tool addresses semantic difficulty by substituting difficult terms with easier synonyms or through the use of hierarchically and/or semantically related terms. The tool also simplifies long sentences by splitting them into shorter grammatical sentences. We used the tool to simplify electronic medical records and journal articles and results show that the tool simplifies both document types though by different degrees. A cloze test on the electronic medical records showed a statistically significant improvement in the cloze score from 35.8% to 43.6%.

Indexed as

SemanticsVocabularyComprehensionElectronic Health RecordsLanguagePaper

Identifiers

PMID21347002
PMCPMC3041424

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.