Title Information
Title
PubMedMiner: mining and visualizing MeSH-based associations in PubMed
Name: Personal
Name Part
Zhang, Yucan
Role
Role Term: Text (marcrelator)
author
Name: Personal
Name Part
Sarkar, Indra Neil
Role
Role Term: Text (marcrelator)
author
Name: Personal
Name Part
Chen, Elizabeth S.
Role
Role Term: Text (marcrelator)
author
Type of Resource
text
Genre (aat)
papers (documents)
Origin Information
Date Created (keyDate="yes", encoding="w3cdtf")
2014
Language
Language Term: Code (ISO639-2B)
eng
Note (displayLabel="Source")
Biomedical Literature
Note (displayLabel="Method")
Data Mining
Note (displayLabel="Condition")
Asthma
Abstract
The exponential growth of biomedical literature provides the opportunity to develop approaches for facilitating the identification of possible relationships between biomedical concepts. Indexing by Medical Subject Headings (MeSH) represent high-quality summaries of much of this literature that can be used to support hypothesis generation and knowledge discovery tasks using techniques such as association rule mining. Based on a survey of literature mining tools, a tool implemented using Ruby and R -- PubMedMiner -- was developed in this study for mining and visualizing MeSH-based associations for a set of MEDLINE articles. To demonstrate PubMedMiner's functionality, a case study was conducted that focused on identifying and comparing comorbidities for asthma in children and adults. Relative to the tools surveyed, the initial results suggest that PubMedMiner provides complementary functionality for summarizing and comparing topics as well as identifying potentially new knowledge.
Note: funding
This work was supported in part by the National Library of Medicine of the National Institutes of Health under award number R01LM011364.
Note
Student paper competition finalist at the 2014 AMIA Annual Symposium
Related Item: Host (displayLabel="Published in")
Title Information
Title
AMIA Annual Symposium Proceedings
Origin Information
Date Created
Nov 14 2014
Date Created (keyDate="yes", encoding="w3cdtf")
2014-11-14
Physical Description
Extent
p. 1990-1999
Identifier: PubMed ID
PMID: 25954472
Identifier: PubMed Central PMCID
PMCID4419975
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
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