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Leveraging Machine Learning to Understand How Emotions Influence Equity Related Education: Quasi-Experimental Study.

Javeed SukheraHasan Ahmed
Published in: JMIR medical education (2022)
The finding that health professionals are more likely to show and convey emotions regarding equity-related issues on social media has implications for teaching and learning about sensitive topics related to health professions education. Such emotions must therefore be considered in the design, delivery, and evaluation of equity and bias-related education.
Keyphrases
  • social media
  • healthcare
  • machine learning
  • public health
  • quality improvement
  • health information
  • deep learning
  • risk assessment
  • global health
  • medical students