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A modern approach with follower-leading clustering algorithm for visualizing author collaborations and article themes in skin cancer research: A bibliometric analysis.

Po-Chih LaiWilly ChouTsair-Wei ChienFeng-Jie Lai
Published in: Medicine (2023)
By applying the descriptive, diagnostic, predictive, and prescriptive analytics model, 2 noteworthy articles were identified and highlighted on an impact beam plot. These articles are considered deserving of attention and could potentially inspire further research in the field of bibliometrics, focusing on relevant topics related to melanoma.
Keyphrases
  • skin cancer
  • machine learning
  • working memory
  • big data
  • deep learning
  • cross sectional