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Automated Extraction of Diagnostic Criteria From Electronic Health Records for Autism Spectrum Disorders: Development, Evaluation, and Application.

Gondy LeroyYang GuSydney PettygroveMaureen K GalindoAnanyaa AroraMargaret Kurzius-Spencer
Published in: Journal of medical Internet research (2018)
Our results demonstrate that NLP can support large-scale analysis useful for ASD surveillance and research. In the future, we intend to facilitate detailed analysis and integration of national datasets.
Keyphrases
  • autism spectrum disorder
  • electronic health record
  • public health
  • machine learning
  • high throughput
  • deep learning
  • quality improvement
  • adverse drug