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A narrative review of the application of machine learning in venous thromboembolism.

Shirong ZouZhoupeng Wu
Published in: Vascular (2023)
The incidence of venous thromboembolism is high, the diagnostic measures are diverse, and it is necessary to classify and treat machine learning, and machine learning as a research tool, it is more necessary to strengthen the special research of venous thromboembolism and machine learning.
Keyphrases
  • venous thromboembolism
  • machine learning
  • direct oral anticoagulants
  • artificial intelligence
  • big data
  • deep learning
  • risk factors