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Incremental value of machine learning for risk prediction in tetralogy of Fallot.

Ayako IshikitaChris McIntoshS Lucy RocheDavid J BarronErwin OechslinLee BensonKrishnakumar NairMyunghyun M LeeMichael N GrittiKate HannemanGauri Rani KarurRachel M Wald
Published in: Heart (British Cardiac Society) (2023)
Robust prediction of 5-year MACE in rTOF was achieved using either ML or a multidisciplinary team of ACHD experts. Risk prediction of some clinicians was enhanced by incorporation of ML suggesting that there may be incremental value for ML in select circumstances.
Keyphrases
  • machine learning
  • palliative care
  • quality improvement
  • artificial intelligence