Evidence map›Paper›PMID 26260003›Full record

ArticleJournal of biomedical informatics2015

Structural measures to track the evolution of SNOMED CT hierarchies.

Duo Wei, Huanying Helen Gu, Yehoshua Perl, Michael Halper, Christopher Ochs, Gai Elhanan, Yan Chen

Abstract read
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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Tracking the Remodeling of SNOMED CT's Bacterial Infectious Diseases.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2016
    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

7 authors.

Duo WeiComputer Science and Information Systems-BUSN, Stockton University, Galloway, NJ 08205, United States. Electronic address: duo.wei@stockton.edu.
Huanying Helen GuComputer Science Dept., New York Institute of Technology, New York, NY 10023, United States.
Yehoshua PerlComputer Science Dept., New Jersey Institute of Technology, Newark, NJ 07102, United States.
Michael HalperInformation Technology Dept., New Jersey Institute of Technology, Newark, NJ 07102, United States.
Christopher OchsComputer Science Dept., New Jersey Institute of Technology, Newark, NJ 07102, United States.
Gai ElhananComputer Science Dept., New Jersey Institute of Technology, Newark, NJ 07102, United States; Halfpenny Technologies Inc., Blue Bell, PA 19422, United States.
Yan ChenComputer Information Systems Dept., BMCC, CUNY, New York, NY 10007, United States.

Funding

A family-based framework of quality assurance for biomedical ontologiesR01CA190779 · NCI · NEW JERSEY INSTITUTE OF TECHNOLOGY · PI PERL, YEHOSHUA · 2015 to 2017
$1.8M
NCI NIH HHS R01 CA190779
6 · The paper itself

Abstract

The Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) is an extensive reference terminology with an attendant amount of complexity. It has been updated continuously and revisions have been released semi-annually to meet users' needs and to reflect the results of quality assurance (QA) activities. Two measures based on structural features are proposed to track the effects of both natural terminology growth and QA activities based on aspects of the complexity of SNOMED CT. These two measures, called the structural density measure and accumulated structural measure, are derived based on two abstraction networks, the area taxonomy and the partial-area taxonomy. The measures derive from attribute relationship distributions and various concept groupings that are associated with the abstraction networks. They are used to track the trends in the complexity of structures as SNOMED CT changes over time. The measures were calculated for consecutive releases of five SNOMED CT hierarchies, including the Specimen hierarchy. The structural density measure shows that natural growth tends to move a hierarchy's structure toward a more complex state, whereas the accumulated structural measure shows that QA processes tend to move a hierarchy's structure toward a less complex state. It is also observed that both the structural density and accumulated structural measures are useful tools to track the evolution of an entire SNOMED CT hierarchy and reveal internal concept migration within it.

Indexed as

Data AccuracySystematized Nomenclature of MedicineAbstraction networkComplexity measureQuality assuranceSNOMED CTTerminology

Identifiers

PMID26260003
PMCPMC4744812

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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.