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Leveraging multi-site electronic health data for characterization of subtypes: a pilot study of dementia in the N3C Clinical Tenant.

Suchetha SharmaJiebei LiuAmy Caroline AbramowitzCarol Reynolds GearyKaren C JohnstonCarol ManningJohn Darrell Van HornAndrea ZhouAlfred J AnzaloneJohanna LoombaEmily Rose PfaffDon Brown
Published in: JAMIA open (2024)
This study underscores the critical role of multi-site data analyzes in understanding the relationship between comorbidities and disease subtypes. By utilizing diverse healthcare data, we emphasize the need to consider site-specific differences in clinical practices and patient demographics. Despite challenges like class imbalance and variability in EHR data, our findings highlight the essential contribution of multi-site data to developing accurate and generalizable models for disease classification.
Keyphrases
  • electronic health record
  • healthcare
  • big data
  • public health
  • deep learning
  • artificial intelligence
  • risk assessment
  • mass spectrometry
  • social media