Supervised Machine-learning Predictive Analytics for Prediction of Postinduction Hypotension.

Journal: Anesthesiology
PMID: 30074930

Abstract

WHAT WE ALREADY KNOW ABOUT THIS TOPIC: WHAT THIS ARTICLE TELLS US THAT IS NEW: BACKGROUND:: Hypotension is a risk factor for adverse perioperative outcomes. Machine-learning methods allow large amounts of data for development of robust predictive analytics. The authors hypothesized that machine-learning methods can provide prediction for the risk of postinduction hypotension.

Authors

  • Samir Kendale
    Department of Anesthesia, Critical Care & Pain Medicine, Beth Israel Deaconess Medical Center, Boston, MA, United States.
  • Prathamesh Kulkarni
  • Andrew D Rosenberg
  • Jing Wang
    Endoscopy Center, Peking University Cancer Hospital and Institute, Beijing, China.

Keywords

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