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Applications of machine learning in decision analysis for dose management for dofetilide.

Andrew E LevyMinakshi BiswasRachel WeberKhaldoun TarakjiMina ChungPeter A NoseworthyChristopher Newton-ChehMichael Aaron Rosenberg
Published in: PloS one (2019)
Dose adjustments are a strong determinant of whether patients are able to successfully initiate dofetilide. A reinforcement learning algorithm informed by unsupervised learning was able to predict dosing decisions with 96.1% accuracy. Future studies will apply this algorithm prospectively as a data-driven decision aid.
Keyphrases
  • machine learning
  • end stage renal disease
  • deep learning
  • artificial intelligence
  • newly diagnosed
  • big data
  • ejection fraction
  • chronic kidney disease
  • peritoneal dialysis
  • patient reported outcomes
  • current status