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Unsupervised algorithms to identify potential under-coding of secondary diagnoses in hospitalisations databases in Portugal.

Diana PortelaRita AmaralPedro P RodriguesAlberto FreitasElísio CostaJoão A FonsecaBernardo Sousa-Pinto
Published in: Health information management : journal of the Health Information Management Association of Australia (2023)
Our proposed methodological framework could both enhance data quality and act as a reference for other studies relying on databases with similar problems.
Keyphrases
  • machine learning
  • big data
  • artificial intelligence
  • mental health
  • deep learning
  • electronic health record
  • case control
  • quality improvement
  • human health
  • risk assessment
  • climate change
  • data analysis