Machine learning outcome prediction using stress perfusion cardiac magnetic resonance reports and natural language processing of electronic health records

Ebraham Alskaf*, Simon M. Frey, Cian M. Scannell, Avan Suinesiaputra, Dijana Vilic, Vlad Dinu, Pier Giorgio Masci, Divaka Perera, Alistair Young, Amedeo Chiribiri

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Article number101418
JournalInformatics in Medicine Unlocked
Volume44
Early online date4 Dec 2023
DOIs
Publication statusPublished - Jan 2024

Keywords

  • Cardiac magnetic resonance
  • Coronary artery disease
  • Electronic health records
  • Machine learning
  • Natural language processing
  • Outcome prediction

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