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Forecasting outbound student mobility: A machine learning approach.

Stephanie YangHsueh-Chih ChenWen-Ching ChenCheng-Hong Yang
Published in: PloS one (2020)
With the recognition of outbound values, key findings of Taiwanese outbound student mobility, and accurate application of the FSDESVR model, education administration units are exposed to a more in-depth view of future student mobility, which enables the implement of a more accurate education curriculum.
Keyphrases
  • medical education
  • medical students
  • machine learning
  • quality improvement
  • healthcare
  • high resolution
  • high school
  • artificial intelligence
  • optical coherence tomography
  • current status
  • big data
  • mass spectrometry