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Analyzing fulminant myocarditis research trends and characteristics using the follower-leading clustering algorithm (FLCA): A bibliometric study.

Pei-Chun YenWilly ChouTsair-Wei ChienTung-Hui Jen
Published in: Medicine (2023)
A new FLCA algorithm was utilized to examine bibliometric data from 1989 to 2022, specifically focusing on FM. The results of this analysis can serve as a valuable guide for researchers, offering insights into the thematic trends and characteristics of FM research development. This, in turn, can facilitate and promote future research endeavors in this field.
Keyphrases
  • machine learning
  • deep learning
  • electronic health record
  • big data
  • current status
  • neural network
  • sensitive detection
  • rna seq
  • artificial intelligence
  • hepatitis b virus
  • quantum dots