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

You might also read

Related Articles

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

Sort by
Same author

MedHopQA: A Disease-Centered Multi-Hop Reasoning Benchmark and Evaluation Framework for LLM-Based Biomedical Question Answering.

ArXiv·2026
Same author

What Do Biomedical NER and Entity Linking Benchmarks Measure? A Corpus-Centric Diagnostic Framework.

ArXiv·2026
Same author

Overview of the MedHopQA track at BioCreative IX: track description, participation and evaluation of systems for multi-hop medical question answering.

ArXiv·2026
Same author

Exploring Anti-Aging Literature via <i>ConvexTopics</i> and Large Language Models.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science·2026
Same author

Exploring Anti-Aging Literature via <i>ConvexTopics</i> and Large Language Models.

ArXiv·2026
Same author

Cell phenotypes in the biomedical literature: a systematic analysis and text mining corpus.

bioRxiv : the preprint server for biology·2026

Related Experiment Video

Updated: Dec 20, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

15.0K

PDC - a probabilistic distributional clustering algorithm: a case study on suicide articles in PubMed.

Rezarta Islamaj1, Lana Yeganova1, Won Kim1

  • 1National Library of Medicine, National Institutes of Health, Bethesda MD, USA.

AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science
|June 2, 2020
PubMed
Summary

Probabilistic distributional clustering (PDC) organizes large document collections by grouping related terms into topics. This helps researchers better understand complex subjects like suicide literature.

More Related Videos

Quantitative Analysis of Climbing Defects in a Drosophila Model of Neurodegenerative Disorders
06:30

Quantitative Analysis of Climbing Defects in a Drosophila Model of Neurodegenerative Disorders

Published on: June 13, 2015

19.6K
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

9.1K

Related Experiment Videos

Last Updated: Dec 20, 2025

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

15.0K
Quantitative Analysis of Climbing Defects in a Drosophila Model of Neurodegenerative Disorders
06:30

Quantitative Analysis of Climbing Defects in a Drosophila Model of Neurodegenerative Disorders

Published on: June 13, 2015

19.6K
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

9.1K

Area of Science:

  • Computational Biology
  • Medical Informatics
  • Public Health

Background:

  • Information overload necessitates effective methods for organizing large document collections.
  • Understanding complex public health issues requires comprehensive analysis of related literature.

Purpose of the Study:

  • To introduce Probabilistic Distributional Clustering (PDC), a novel algorithm for topic discovery in document collections.
  • To develop a visualization environment for exploring computed topics and retrieving relevant articles.
  • To apply PDC to PubMed suicide literature to provide a global view for mental health researchers.

Main Methods:

  • PDC algorithm partitions terms into disjoint groups based on word co-occurrence probabilities.
  • A visualization environment is developed to display topics and link them to PubMed articles.
  • The algorithm is applied to a corpus of suicide-related documents from PubMed.

Main Results:

  • PDC successfully identifies distinct topic clusters within the suicide literature.
  • The visualization tool allows for exploration of term relationships and article retrieval.
  • A web portal is created to facilitate researcher access to the organized suicide literature.

Conclusions:

  • PDC offers an effective approach for organizing and understanding large-scale scientific literature.
  • The developed tools enhance the ability of mental health researchers to navigate and analyze suicide-related research.
  • This work contributes to a better understanding of the suicide problem by structuring relevant data.