Evidence map›Paper›PMID 25954395›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2014

U-path: An undirected path-based measure of semantic similarity.

Bridget T McInnes, Ted Pedersen, Ying Liu, Genevieve B Melton, Serguei V Pakhomov

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

  1. Article
  2. The use of SNOMED CT, 2013-2020: a literature review.Journal of the American Medical Informatics Association : JAMIA · 2021
    Review
  3. Article
  4. 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

5 authors.

Bridget T McInnesVirginia Commonwealth University, Richmond, VA.
Ted PedersenUniversity of Minnesota, Duluth, MN.
Ying LiuThe Advisory Board Company, San Francisco, CA.
Genevieve B MeltonUniversity of Minnesota, Minneapolis, MN.
Serguei V PakhomovUniversity of Minnesota, Minneapolis, MN.

Funding

Sematic Relatedness for Active Medication Safety and Outcomes SurveillanceR01LM009623 · NLM · UNIVERSITY OF MINNESOTA · PI PAKHOMOV, SERGUEI VS · 2008 to 2010
$949k
NLM NIH HHS R01 LM009623NLM NIH HHS R01LM009623-01
6 · The paper itself

Abstract

In this paper, we present the results of a method using undirected paths to determine the degree of semantic similarity between two concepts in a dense taxonomy with multiple inheritance. The overall objective of this work was to explore methods that take advantage of dense multi-hierarchical taxonomies that are more graph-like than tree-like by incorporating the proximity of concepts with respect to each other within the entire is-a hierarchy. Our hypothesis is that the proximity of the concepts regardless of how they are connected is an indicator to the degree of their similarity. We evaluate our method using the Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT), and four reference standards that have been manually tagged by human annotators. The overall results of our experiments show, in SNOMED CT, the location of the concepts with respect to each other does indicate the degree to which they are similar.

Indexed as

SemanticsSystematized Nomenclature of MedicineVocabulary, ControlledHumansReference StandardsStatistics, NonparametricUnified Medical Language System

Identifiers

PMID25954395
PMCPMC4419983

What OpenQuestion holds

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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.