Forty-two Million Ways to Describe Pain: Topic Modeling of 200,000 PubMed Pain-Related Abstracts Using Natural Language Processing and Deep Learning-Based Text Generation.

Journal: Pain medicine (Malden, Mass.)
Published Date: Nov 1, 2020

Abstract

OBJECTIVE: Recent efforts to update the definitions and taxonomic structure of concepts related to pain have revealed opportunities to better quantify topics of existing pain research subject areas.

Authors

  • Patrick J Tighe
    Department of Anesthesiology, University of Florida College of Medicine, Gainesville, Florida, USA.
  • Bharadwaj Sannapaneni
    Department of Electrical and Computer Engineering, University of Florida College of Engineering, Gainesville, Florida.
  • Roger B Fillingim
    Department of Community Dentistry and Behavioral Science, University of Florida College of Dentistry, Gainesville, Florida, USA.
  • Charlie Doyle
    Department of Anesthesiology, University of Florida College of Medicine, Gainesville, Florida.
  • Michael Kent
    Department of Anesthesiology, Duke University School of Medicine, Durham, North Carolina.
  • Ben Shickel
    Department of Computer and Information Science and Engineering.
  • Parisa Rashidi
    Department of Biomedical Engineering, University of Florida, Gainesville, FL USA.

Keywords

External Resources

Popular Topics
Recent Journals