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Using Administrative Data to Ascertain True Cases of Muscular Dystrophy: Rare Disease Surveillance.

Michael G SmithJulie RoyerJoshua R MannSuzanne W McDermott
Published in: JMIR public health and surveillance (2017)
Accuracy of finding a true case in a passive surveillance system was improved substantially when specific diagnosis codes, number of times a code was used, age of the patient, and specialty provider variables were used.
Keyphrases
  • muscular dystrophy
  • public health
  • primary care
  • duchenne muscular dystrophy
  • case report
  • electronic health record
  • big data
  • deep learning
  • medical students