A Machine Learning Prediction Model for Non-cardiogenic Out-of-hospital Cardiac Arrest with Initial Non-shockable Rhythm.

Journal: Juntendo Iji zasshi = Juntendo medical journal
Published Date:

Abstract

OBJECTIVES: The purpose of this study was to develop and validate a machine learning prediction model for the prognosis of non-cardiogenic out-of-hospital cardiac arrest (OHCA) with an initial non-shockable rhythm.

Authors

  • Shinsuke Karatsu
  • Yohei Hirano
  • Yutaka Kondo
  • Ken Okamoto
  • Hiroshi Tanaka

Keywords

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