Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

MeSHmap: a text mining tool for MEDLINE.

P Srinivasan1

  • 1School of Library & Information Science, University of Iowa, Iowa City, IA 52242, USA.

Proceedings. AMIA Symposium
|February 5, 2002
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Secondary neutron emissions and induced activity quantification during 14 MeV proton irradiation of thick natural yttrium target.

Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine·2026
Same author

Molecular Characterization and Detection of <i>Brachyspira pilosicoli</i> Associated with Intestinal Dysbiosis of Layer Chickens on the Indian Subcontinent.

Avian diseases·2026
Same author

Phytochemical-Mediated Synthesis of AgNPs Using Caulerpa peltata: Photoluminescent Analysis and Cytotoxic Potential.

Luminescence : the journal of biological and chemical luminescence·2025
Same author

Phyco-Fabricated Zinc Oxide Nanorods From Dictyota dichotoma Seaweed: A Promising Resource for Environmental and Biomedical Applications.

Luminescence : the journal of biological and chemical luminescence·2025
Same author

Green Synthesis of ZrO<sub>2</sub> Nanoparticles From Gardenia resinifera for Efficient Photocatalytic Methylene Blue Dye Degradation With Antimicrobial and Antioxidant Properties.

Luminescence : the journal of biological and chemical luminescence·2025
Same author

Fabrication and Characterization of Zinc Oxide Nanoparticles Derived From Aegle marmelos Fruit: Evaluation of Antioxidant, Antibacterial, and Photocatalytic Properties.

Luminescence : the journal of biological and chemical luminescence·2025
Same journal

Progressive display of very high resolution images using wavelets.

Proceedings. AMIA Symposium·2002
Same journal

The Chronus II temporal database mediator.

Proceedings. AMIA Symposium·2002
Same journal

Gene expression levels in different stages of progression in oral squamous cell carcinoma.

Proceedings. AMIA Symposium·2002
Same journal

An assessment of the visibility of MeSH-indexed medical web catalogs through search engines.

Proceedings. AMIA Symposium·2002
Same journal

Filtering for medical news items using a machine learning approach.

Proceedings. AMIA Symposium·2002
Same journal

Enriching the structure of the UMLS semantic network.

Proceedings. AMIA Symposium·2002
See all related articles

MeSHmap is a text mining system that uses Medical Subject Headings (MeSH) from MEDLINE records. It enables advanced exploration, comparison, and mapping of biomedical entities for enhanced data analysis.

Area of Science:

  • Biomedical Informatics
  • Text Mining
  • Medical Subject Headings (MeSH)

Background:

  • MEDLINE database is a rich source of biomedical literature metadata.
  • Existing text mining tools may not fully exploit structured metadata like MeSH terms.
  • Need for advanced systems to analyze relationships between biomedical entities.

Purpose of the Study:

  • To introduce MeSHmap, a prototype text mining system.
  • To demonstrate MeSHmap's capability in exploring MeSH terms within MEDLINE records.
  • To highlight MeSHmap's potential for entity comparison and relationship mapping.

Main Methods:

  • Developed MeSHmap, a text mining system leveraging MeSH indexing from MEDLINE.
  • Integrated MeSHmap with PubMed for search functionality.

Related Experiment Videos

  • Implemented user-driven exploration of MeSH terms and subheadings.
  • Designed higher-level operators for comparison and mapping functions.

    • Main Results:

    • MeSHmap supports interactive exploration of MeSH terms associated with retrieved documents.
    • The system facilitates comparison of similar entities (e.g., drugs, procedures).
    • MeSHmap can generate similarity maps of entities based on MeSH metadata.

    Conclusions:

    • MeSHmap offers advanced text mining capabilities beyond simple retrieval.
    • The system provides novel ways to analyze and visualize relationships within biomedical literature.
    • Future work will focus on user evaluations to assess system utility.