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Validity of Online Screening for Autism: Crowdsourcing Study Comparing Paid and Unpaid Diagnostic Tasks.

Peter Yigitcan WashingtonHaik KalantarianQandeel TariqJessey Nicole SchwartzKaitlyn L DunlapBrianna Sierra ChrismanMaya VarmaMichael NingAaron KlineNate Tyler StockhamKelley PaskovCatalin VossNick HaberDennis Paul Wall
Published in: Journal of medical Internet research (2019)
Many paid crowd workers on AMT enjoyed answering screening questions from videos, suggesting higher intrinsic motivation to make quality assessments. Paid crowdsourcing provides promising screening assessments of pediatric autism with an average deviation <20% from professional gold standard raters, which is potentially a clinically informative estimate for parents. Parents of children with autism likely overfit their intuition to their own affected child. This work provides preliminary demographic data on raters who may have higher ability to recognize and measure features of autism across its wide range of phenotypic manifestations.
Keyphrases
  • autism spectrum disorder
  • intellectual disability
  • working memory
  • healthcare
  • machine learning
  • health information
  • data analysis