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Early Identification of Language Disorders Using Natural Language Processing and Machine Learning: Challenges and Emerging Approaches
16 references·0 citing·43 second hop
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References

  • 2010The weirdest people in the world?13,775 cited
  • 2019Dissecting racial bias in an algorithm used to manage the health of populations7,674 cited
  • 2008American Speech‐Language‐Hearing Association2,557 cited
  • 1997Prevalence of Specific Language Impairment in Kindergarten Children2,404 cited
  • 1994The CHILDES Project: Tools for analyzing talk . By Brian MacWhinney. Hillsdale, NJ: Erlbaum, 1991. Pp. xi, 360. Cloth $59.95, paper $24.95.2,335 cited
  • 2017Phase 2 of CATALISE: a multinational and multidisciplinary Delphi consensus study of problems with language development: Terminology1,997 cited
  • 2019AI Fairness 360: An extensible toolkit for detecting and mitigating algorithmic bias1,581 cited
  • 1997Children with Specific Language Impairment1,513 cited
  • 2016The impact of nonverbal ability on prevalence and clinical presentation of language disorder: evidence from a population study1,331 cited
  • 2019Universal Declaration of Human Rights1,107 cited
  • 1997The Effectiveness of Early Intervention764 cited
  • 1991Familial aggregation of a developmental language disorder666 cited
  • 2000Prevalence and natural history of primary speech and language delay: findings from a systematic review of the literature591 cited
  • 2019Artificial intelligence and algorithmic bias: implications for health systems

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550 cited
  • 2001Non‐specific nature of specific language impairment: a review of the literature with regard to concomitant motor impairments535 cited
  • 1990Index of Productive Syntax517 cited
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