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Evaluation of Machine Learning Approaches for Predicting Warfarin Discharge Dose in Cardiac Surgery Patients: Retrospective Algorithm Development and Validation Study.

Lindsay DrydenJacquelin SongTeresa J ValenzanoZhen YangMeggie DebnathRebecca LinJane Topolovec-VranicMuhammad M MamdaniTony Antoniou
Published in: JMIR cardio (2023)
Machine learning algorithms based on routinely available clinical data can help guide initial warfarin dosing in cardiac surgery patients and optimize the postsurgical anticoagulation of these patients.
Keyphrases
  • machine learning
  • end stage renal disease
  • ejection fraction
  • chronic kidney disease
  • newly diagnosed
  • peritoneal dialysis
  • atrial fibrillation
  • prognostic factors
  • acute kidney injury
  • artificial intelligence