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Validation of automated pipeline for the assessment of a motor speech disorder in amyotrophic lateral sclerosis (ALS).

Leif Er SimmatisJessica RobinTimothy PomméeScotia McKinlayRupinder SranNiyousha TaatiJustin TruongBharatkumar KoyaniYana Yunusova
Published in: Digital health (2023)
This novel, automated speech assessment feature set demonstrates substantial promise as a valid tool for analyzing impaired speech in ALS patients and for the further development of these technologies.
Keyphrases
  • machine learning
  • deep learning
  • end stage renal disease
  • ejection fraction
  • high throughput
  • newly diagnosed
  • chronic kidney disease
  • amyotrophic lateral sclerosis
  • big data
  • patient reported outcomes