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Clinical factors associated with rapid treatment of sepsis.

Xing SongMei LiuLemuel R WaitmanAnurag PatelSteven Q Simpson
Published in: PloS one (2021)
These machine learning methods identified factors associated with rapid treatment of severe sepsis patients from a large volume of high-dimensional clinical data. The results provide insight into differences in the rapid provision of treatment among patients with sepsis.
Keyphrases
  • machine learning
  • intensive care unit
  • acute kidney injury
  • end stage renal disease
  • chronic kidney disease
  • septic shock
  • early onset
  • electronic health record