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Risk factors for 1-year allograft loss in pediatric heart transplant patients using machine learning: An analysis of the pediatric heart transplant society database.

Bethany L WisotzkeyByron C JaegerAlfred Asante-KorangMolly BricklerRyan S CantorMelanie D EverittJames K KirklinDevin KoehlBenjamin S MantellPhilip T ThrushMicheal Kuhn
Published in: Pediatric transplantation (2023)
Risk prediction models used to facilitate patient selection for pediatric heart transplant can be improved without loss of interpretability using machine learning.
Keyphrases
  • heart failure
  • end stage renal disease
  • ejection fraction
  • newly diagnosed
  • emergency department
  • patient reported outcomes
  • young adults
  • childhood cancer
  • adverse drug
  • patient reported
  • kidney transplantation