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Comparing methods of grouping hospitals.

Jordan EversonJohn M HollingsworthJulia Adler-Milstein
Published in: Health services research (2019)
Community detection algorithm-defined hospital groups offer high validity, reliability to different specifications, and generalizability to many uses when compared to approaches in widespread use today. They may, therefore, offer a better choice for efforts seeking to analyze the behaviors and dynamics of groups of hospitals. Measures of modularity, shared information, inclusivity, and shared behavior can be used to evaluate different approaches to grouping providers.
Keyphrases
  • healthcare
  • mental health
  • machine learning
  • deep learning
  • health information
  • quality improvement
  • label free
  • real time pcr
  • adverse drug
  • social media
  • neural network