Machine Learning in Paediatric Cardiac Surgery: Ready for Prime Time?

Journal: Heart, lung & circulation
Published Date:

Abstract

No abstract available for this article.

Authors

  • Kim S Betts
    School of Population Health, Curtin University, Perth, WA, Australia.
  • Supreet P Marathe
    Queensland Paediatric Cardiac Service (QPCS), Queensland Children's Hospital, Brisbane, Qld, Australia; Children's Health Research Centre, University of Queensland, Brisbane, Qld, Australia; School of Clinical Medicine, Children's Health Queensland Clinical Unit, University of Queensland, Brisbane, Qld, Australia.
  • Jessica Suna
    Queensland Paediatric Cardiac Service (QPCS), Queensland Children's Hospital, Brisbane, Qld, Australia; Children's Health Research Centre, University of Queensland, Brisbane, Qld, Australia; School of Clinical Medicine, Children's Health Queensland Clinical Unit, University of Queensland, Brisbane, Qld, Australia.
  • Prem Venugopal
    Queensland Paediatric Cardiac Service (QPCS), Queensland Children's Hospital, Brisbane, Qld, Australia; Children's Health Research Centre, University of Queensland, Brisbane, Qld, Australia; School of Clinical Medicine, Children's Health Queensland Clinical Unit, University of Queensland, Brisbane, Qld, Australia.
  • Kevin Chai
    Curtin Institute for Computation, Curtin University, Perth, WA, Australia.
  • Nelson Alphonso
    Queensland Paediatric Cardiac Service (QPCS), Queensland Children's Hospital, Brisbane, Qld, Australia; Children's Health Research Centre, University of Queensland, Brisbane, Qld, Australia; School of Clinical Medicine, Children's Health Queensland Clinical Unit, University of Queensland, Brisbane, Qld, Australia. Electronic address: n.alphonso@uq.edu.au.