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

Affiliations

Ebraham Alskaf

School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom; Corresponding author.

Simon M. Frey

School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom; Department of Cardiology, University Hospital Basel, Basel, Switzerland

Cian M. Scannell

School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom; Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Netherlands

Avan Suinesiaputra

School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom

Dijana Vilic

King's College London, United Kingdom

Vlad Dinu

King's College London, United Kingdom

Pier Giorgio Masci

School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom

Divaka Perera

School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom

Alistair Young

School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom

Amedeo Chiribiri

School of Biomedical Engineering & Imaging Sciences, King's College London, United Kingdom