Login / Signup

Predicting Mortality Using Machine Learning Algorithms in Patients Who Require Renal Replacement Therapy in the Critical Care Unit.

Hsin-Hsiung ChangJung-Hsien ChiangChi-Shiang WangPing-Fang ChiuKhaled Abdel-KaderHuiwen ChenEdward D SiewJonathan YabesRaghavan MuruganGilles ClermontSusan T CrowleyManisha Jhamb
Published in: Journal of clinical medicine (2022)
XGBoost provided the highest performance of mortality prediction for patients with AKI requiring RRT compared with previous scoring systems.
Keyphrases
  • acute kidney injury
  • cardiovascular events
  • machine learning
  • deep learning
  • cardiovascular disease
  • coronary artery disease