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Use of images of patients in social networks: how do speech-language therapists perceive and act?

Naiara Mobiglia BenedictoEdson Zangiacomi MartinezTatiane Martins Jorge
Published in: CoDAS (2019)
It was possible to verify the relevance of the results obtained and the impact of the research to encourage reflection on the subject.
Keyphrases
  • end stage renal disease
  • newly diagnosed
  • ejection fraction
  • healthcare
  • prognostic factors
  • convolutional neural network
  • patient reported outcomes
  • machine learning
  • hearing loss