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Machine learning of physiological waveforms and electronic health record data to predict, diagnose and treat haemodynamic instability in surgical patients: protocol for a retrospective study

Authors

  1. Correspondence to Dr Maxime Cannesson; MCannesson{at}mednet.ucla.edu
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Citation

Cannesson M, Hofer I, Rinehart J, et al
Machine learning of physiological waveforms and electronic health record data to predict, diagnose and treat haemodynamic instability in surgical patients: protocol for a retrospective study

Publication history

  • Received May 28, 2019
  • Revised October 31, 2019
  • Accepted November 11, 2019
  • First published December 2, 2019.
Online issue publication 
December 02, 2019

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