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 Concept Videos

Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:

You might also read

Related Articles

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

Sort by
Same author

Hierarchical magnetic core-shell nanoreactor (Fe<sub>3</sub>O<sub>4</sub>@SA/Trypsin@UiO-66) for efficient sensing of protease inhibitors in food and feed products.

Analytica chimica acta·2026
Same author

BCAA metabolism promotes lung cancer tumorigenesis by enhancing cholesterol biosynthesis.

Cell reports·2026
Same author

Widespread extracellular electron transfer pathways at the interface of bimetallic metal-organic frameworks composite bioanode.

Bioresource technology·2026
Same author

From network prediction to in vivo validation: luteolin attenuates cholestatic liver injury in association with PI3K/Akt/GSK-3β signalling modulation.

Naunyn-Schmiedeberg's archives of pharmacology·2026
Same author

Revealing the lagged relationship between groundwater changes and land subsidence in Tianjin based on GRACE and InSAR observations.

Scientific reports·2026
Same author

Harnessing the Quinoline Scaffold toward Discovery and Development of Antimalarials.

Journal of medicinal chemistry·2026

Related Experiment Video

Updated: Jul 17, 2026

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

Developing a UMLS-based indexing tool for health science repository system.

Dongming Zhang1, Nancy K Roderer, Guang Huang

  • 1Welch Medical Library, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|January 24, 2007
PubMed
Summary

This study introduces an automated tool for categorizing and indexing digital objects in Institutional Repository Systems (IRS). The system uses the Unified Medical Language System (UMLS) to assign Medical Subject Headings (MeSH) and keywords, improving efficiency.

More Related Videos

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

Related Experiment Videos

Last Updated: Jul 17, 2026

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

Area of Science:

  • Information Science
  • Medical Informatics
  • Computer Science

Background:

  • Institutional Repository Systems (IRS) require accurate categorization and indexing of digital objects.
  • Manual cataloging by humans is the current standard but is time-consuming.
  • Automating this process can enhance efficiency and consistency.

Purpose of the Study:

  • To develop a Unified Medical Language System (UMLS)-based tool for automated indexing.
  • To integrate this tool into existing Institutional Repository Systems (IRS).
  • To automatically assign Medical Subject Headings (MeSH) and keywords to digital objects.

Main Methods:

  • Development of a novel UMLS-based indexing tool.
  • Integration capabilities for compatibility with various IRS platforms.
  • Algorithmic assignment of MeSH headings and keywords to text-based digital objects.

Main Results:

  • The tool successfully categorizes and assigns MeSH headings and keywords automatically.
  • Potential for significant time and resource savings in IRS operations.
  • Improved consistency in indexing compared to manual methods.

Conclusions:

  • Automated indexing using UMLS offers a viable solution for Institutional Repository Systems.
  • The developed tool can streamline the cataloging process, freeing up human resources.
  • This advancement supports better organization and retrieval of digital scholarly content.