Evidence map›Paper›PMID 20351894›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2009

UMLS-Interface and UMLS-Similarity : open source software for measuring paths and semantic similarity.

Bridget T McInnes, Ted Pedersen, Serguei V S Pakhomov

Abstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

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57citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

57 citing papers in PubMed.

  1. Article
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  3. Exploring Large Language Models for Acronym, Symbol Sense Disambiguation, and Semantic Similarity and Relatedness Assessment.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2024
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  9. Challenges and Barriers in Applying Natural Language Processing to Medical Examiner Notes from Fatal Opioid Poisoning Cases.Proceedings : ... IEEE International Conference on Big Data. IEEE International Conference on Big Data · 2020
    Article
  10. Article
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  15. A Neuro-ontology for the neurological examination.BMC medical informatics and decision making · 2020
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Bridget T McInnesUniversity of Minnesota, Minneapolis, MN, USA.
Ted Pedersen
Serguei V S Pakhomov

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 1R01LM009623-01A2NLM NIH HHS R01 LM009623
6 · The paper itself

Abstract

A number of computational measures for determining semantic similarity between pairs of biomedical concepts have been developed using various standards and programming platforms. In this paper, we introduce two new open-source frameworks based on the Unified Medical Language System (UMLS). These frameworks consist of the UMLS-Similarity and UMLS-Interface packages. UMLS-Interface provides path information about UMLS concepts. UMLS-Similarity calculates the semantic similarity between UMLS concepts using several previously developed measures and can be extended to include new measures. We validate the functionality of these frameworks by reproducing the results from previous work. Our frameworks constitute a significant contribution to the field of biomedical Natural Language Processing by providing a common development and testing platform for semantic similarity measures based on the UMLS.

Indexed as

Natural Language ProcessingSemanticsSoftwareUnified Medical Language SystemInformation Storage and RetrievalOwnership

Identifiers

PMID20351894
PMCPMC2815481

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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.