Login / Signup

A Review of Screeners to Identify Risk of Developmental Language Disorder.

Xue BaoRouzana KomesidouTiffany P Hogan
Published in: American journal of speech-language pathology (2024)
Our findings presented some DLD screeners that meet most standards and highlight numerous areas for improvement, including improving classification accuracy and clarifying follow-up instructions for children who are identified with DLD risk. Screening for DLD is critical to provide timely early identification, intervention, and classroom support, which in turn facilitates student outcomes.
Keyphrases
  • randomized controlled trial
  • machine learning
  • young adults
  • deep learning
  • autism spectrum disorder
  • fluorescent probe
  • sensitive detection
  • living cells
  • medical students
  • insulin resistance
  • glycemic control