Paper Details

Paper Title

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.

Paper Journal Title

Pain Med

Paper Citation Count

Paper Publication Year

2020

Bio Mention

MeSH, endometriosis, gated recurrent units, patient, tmd, topic models, women

Mesh Descriptor

Deep Learning, Female, Humans, Natural Language Processing, Pain, PubMed, Publications

Author Name	Affiliation
Patrick J Tighe	University of Florida College of Medicine
Patrick J Tighe	University of Florida College of Medicine
Bharadwaj Sannapaneni	University of Florida College of Engineering
Roger B Fillingim	University of Florida
Charlie Doyle	University of Florida College of Medicine
Michael L Kent	Duke University School of Medicine
Benjamin Shickel
Benjamin Shickel
Parisa Rashidi	University of Florida College of Engineering
Parisa Rashidi
Parisa Rashidi	University of Florida College of Engineering

1 - 11

Dataset	Description	Source Link
PubMed	Citations and abstracts of biomedical literature	Link
PubMed	Citations and abstracts of biomedical literature	Link
PubMed	Citations and abstracts of biomedical literature	Link
PubMed	Citations and abstracts of biomedical literature	Link
PubMed	Citations and abstracts of biomedical literature	Link
PubMed	Citations and abstracts of biomedical literature	Link
PubMed	Citations and abstracts of biomedical literature	Link
PubMed	Citations and abstracts of biomedical literature	Link
PubMed	Citations and abstracts of biomedical literature	Link
PubMed	Citations and abstracts of biomedical literature	Link
PubMed	Citations and abstracts of biomedical literature	Link
PubMed	Citations and abstracts of biomedical literature	Link
PubMed	Citations and abstracts of biomedical literature	Link
PubMed	Citations and abstracts of biomedical literature	Link
PubMed	Citations and abstracts of biomedical literature	Link

1 - 15

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