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ASA classification and surgical severity grading used to identify a high-risk population, a multicenter prospective cohort study in Swedish tertiary hospitals.

Erzsebet BarthaRebecca AhlstrandMax BellHåkan BjörneOlof BrattströmJohan HellebergLena NilssonEgidijus SemenasSigridur Kalman
Published in: Acta anaesthesiologica Scandinavica (2021)
Severity classification as major to Xmajor/complex and ASA ≥3 could be used to identify a high-risk surgical population concerning postoperative morbidity and mortality before surgery. Combining the two systems future electronic data extraction is possible of a high-risk population in tertiary hospitals.
Keyphrases
  • machine learning
  • healthcare
  • deep learning
  • minimally invasive
  • patients undergoing
  • clinical trial
  • electronic health record
  • cross sectional
  • current status
  • double blind
  • acute coronary syndrome