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A Simpler Machine Learning Model for Acute Kidney Injury Risk Stratification in Hospitalized Patients.

Yirui HuKunpeng LiuKevin HoDavid RivielloJason BrownAlex R ChangGurmukteshwar SinghH Lester Kirchner
Published in: Journal of clinical medicine (2022)
The proposed simpler machine learning model utilizing data available at 24 h of admission is promising for early AKI risk stratification. It requires external validation and evaluation of effects of risk prediction on clinician behavior and patient outcomes.
Keyphrases
  • machine learning
  • acute kidney injury
  • big data
  • cardiac surgery
  • artificial intelligence
  • emergency department
  • deep learning
  • data analysis