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De-duplicating patient records from three independent data sources reveals the incidence of rare neuromuscular disorders in Germany.

Kirsten KönigAstrid PechmannSimone ThieleMaggie C WalterDavid SchorlingAdrian TassoniHanns LochmüllerClemens Müller-ReibleJanbernd Kirschner
Published in: Orphanet journal of rare diseases (2019)
With our novel approach (compliant with data protection regulations), we were able to identify unique patient records and estimate the incidence of DMD and SMA in Germany combining and de-duplicating data from patient registries, genetic institutes, and clinical care centers. Although we combined three different data sources, an unknown number of patients might not have been reported by any of these sources. Therefore, our results reflect the minimal incidence of these diseases.
Keyphrases
  • electronic health record
  • risk factors
  • case report
  • big data
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  • drinking water
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  • deep learning