Machine learning to predict vasopressin responsiveness in patients with septic shock

  • Aileen Scheibner
  • , Kevin D. Betthauser
  • , Alice F. Bewley
  • , Paul Juang
  • , Bryan Lizza
  • , Scott Micek
  • , Patrick G. Lyons

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)460-471
Number of pages12
JournalPharmacotherapy
Volume42
Issue number6
DOIs
StatePublished - Jun 2022
Externally publishedYes

ASJC Scopus Subject Areas

  • Pharmacology (medical)

Keywords

  • artificial intelligence
  • pharmacology
  • predictive modeling
  • septic shock
  • vasopressors

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