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A novel approach to dry weight adjustments for dialysis patients using machine learning.

Hae-Ri KimHong Jin BaeJae Wan JeonYoung Rok HamKi Ryang NaKang Wook LeeYun Kyong HyonDae-Eun Choi
Published in: PloS one (2021)
Machine learning made it slightly easier to predict DWCP based on DWBIS under limited conditions and gave better insights into predicting DWCP. Malnutrition-related factors and ECW were important in reflecting the differences between DWBIS and DWCP.
Keyphrases
  • end stage renal disease
  • chronic kidney disease
  • machine learning
  • peritoneal dialysis
  • newly diagnosed
  • body mass index
  • physical activity
  • weight loss
  • patient reported outcomes
  • deep learning
  • body weight