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Mining Themes in Clinical Notes to Identify Phenotypes and to Predict Length of Stay in Patients admitted with Heart Failure.

Ankita AgarwalTanvi BanerjeeWilliam L. RomineKrishnaprasad ThirunarayanLingwei ChenMia Cajita
Published in: CoRR (2023)
Keyphrases
  • heart failure
  • normal subjects
  • health care
  • heart disease
  • chronic disease
  • clinical data
  • knowledge discovery
  • data mining techniques
  • clinical decision support systems
  • x ray
  • high risk
  • medical records
  • brain imaging